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About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together’s API, including high‑performance inference and RL/post‑training engines that can run at production scale. Our mandate is to push the frontier of efficient inference and RL‑driven training: making models dramatically faster and cheaper to run, while improving their capabilities through RL‑based post‑training (e.g., GRPO‑style objectives). This work lives at the interface of algorithms and systems: asynchronous RL, rollout collection, scheduling, and batching all interact with engine design, creating many knobs to tune across the RL algorithm, training loop, and inference stack. Much of the job is modifying production inference systems—for example, SGLang‑ or vLLM‑style serving stacks and speculative decoding systems such as ATLAS—grounded in a strong understanding of post‑training and inference theory, rather than purely theoretical algorithm design. You’ll work across the stack—from RL algorithms and training engines to kernels and serving systems—to build and improve frontier models via RL pipelines. People on this team are often spiky: some are more RL‑first, some are more systems‑first. Depth in one of these areas plus appetite to collaborate across (and grow toward more full‑stack ownership over time) is ideal. Requirements We don’t expect anyone to check every box below. People on this team typically have deep expertise in one or more areas and enough breadth (or interest) to work effectively across the stack. The closer you are to full‑stack (inference + post‑training/RL + systems), the stronger the fit—but being spiky in one area and eager to grow is absolutely okay. You might be a good fit if you: Have strong expertise in at least one of the following, and are excited to collaborate across (and grow into) the others: Systems‑first profile: Large‑scale inference systems (e.g., SGLang, vLLM, FasterTransformer, TensorRT, custom engines, or similar), GPU performance, distributed serving. RL‑first profile: RL / post‑training for LLMs or large models (e.g., GRPO, RLHF/RLAIF, DPO‑like methods, reward modeling), and using these to train or fine‑tune real models. Model architecture design for Transformers or other large neural nets. Distributed systems / high‑performance computing for ML. Are comfortable working from algorithms to engines: Strong coding ability in Python Experience profiling and optimizing performance across GPU, networking, and memory layers. Able to take a new sampling method, scheduler, or RL update and turn it into a production‑grade implementation in the engine and/or training stack. Have a solid research foundation in your area(s) of depth: Track record of impactful work in ML systems, RL, or large‑scale model training (papers, open‑source projects, or production systems). Can read new RL / post‑training papers, understand their implications on the stack, and design minimal, correct changes in the right layer (training engine vs. inference engine vs. data / API). Operate well as a full‑stack problem solver: You naturally ask: “Where in the stack is this really bottlenecked?” You enjoy collaborating with infra, research, and product teams, and you care about both scientific quality and user‑visible wins. Minimum qualifications 3+ years of experience working on ML systems, large‑scale model training, inference, or adjacent areas (or equivalent experience via research / open source). Advanced degree in Computer Science, EE, or a related field, or equivalent practical experience. Demonstrated experience owning complex technical projects end‑to‑end. If you’re excited about the role and strong in some of these areas, we encourage you to apply even if you don’t meet every single requirement. Responsibilities Advance inference efficiency end‑to‑end Design and prototype algorithms, architectures, and scheduling strategies for low‑latency, high‑throughput inference. Implement and maintain changes in high‑performance inference engines (e.g., SGLang‑ or vLLM‑style systems and Together’s inference stack), including kernel backends, speculative decoding (e.g., ATLAS), quantization, etc. Profile and optimize performance across GPU, networking, and memory layers to improve latency, throughput, and cost. Unify inference with RL / post‑training Design and operate RL and post‑training pipelines (e.g., RLHF, RLAIF, GRPO, DPO‑style methods, reward modeling) where 90+% of the cost is inference, jointly optimizing algorithms and systems. Make RL and post‑training workloads more efficient with inference‑aware training loops—for example, async RL rollouts, speculative decoding, and other techniques that make large‑scale rollout collection and evaluation cheaper. Use these pipelines to train, evaluate, and iterate on frontier models on top of our inference stack. Co‑design algorithms and infrastructure so that objectives, rollout collection, and evaluation are tightly coupled to efficient inference, and quickly identify bottlenecks across the training engine, inference engine, data pipeline, and user‑facing layers. Run ablations and scale‑up experiments to understand trade‑offs between model quality, latency, throughput, and cost, and feed these insights back into model, RL, and system design. Own critical systems at production scale Profile, debug, and optimize inference and post‑training services under real production workloads. Drive roadmap items that require real engine modification—changing kernels, memory layouts, scheduling logic, and APIs as needed. Establish metrics, benchmarks, and experimentation frameworks to validate improvements rigorously. Provide technical leadership (Staff level) Set technical direction for cross‑team efforts at the intersection of inference, RL, and post‑training. Mentor other engineers and researchers on full‑stack ML systems work and performance engineering. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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The opportunityWe are seeking a Head of Lab Platform to join our team working at the interface of generative AI and synthetic biology. You will lead and evolve our experimental capabilities, connecting high throughput assay work with our AI workflows and driving us towards a fully autonomous lab. This is an opportunity to think big: to build the infrastructure that closes the loop between biological experimentation and machine learning at scale. You will oversee a team of scientists, set the strategic vision for our lab platform, and work in close collaboration with machine learning teams. A strong blend of software, hardware, and biomolecular skills is essential.Who we areAt Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact.Who you areYou are a lab automation expert. You bring a rare blend of hardware and software lab skills. You have deep experience designing, deploying, and troubleshooting automated workflows, liquid handling systems, and efficiently integrating with LIMS infrastructure. You think creatively about how to connect wet lab operations with agentic AI workflows, and you have concrete ideas for how to push our platform towards full lab autonomy.You are a strong biomolecular and biochemistry scientist. You have generalisable expertise across a range of assay types and biological modalities. You are deeply familiar with workflows involving DNA synthesis, assembly, cloning, transformation, and quantitative read-outs (e.g. flow cytometry, NGS, binding affinity assays). You can scale these workflows into the high throughput regime and have hands-on experience with both arrayed and pooled formats. You thrive at the interface of wet lab and data, understanding how experimental design choices shape what can and cannot be learned from the data collected.You are a successful scientist. You have a Ph.D. or equivalent experience in biology, synthetic biology, computational biology, or a related field. You have a proven track record of leading successful commercial and / or academic research projects, demonstrated through publications and contributions to the scientific community, e.g. in Nature, Science, Cell or PNAS.You empower your team. You lead teams of scientists. You win over and motivate people with great ideas, appreciation and empathy. You love to connect people and enable them to perform at their highest levels. You have excellent communication and presentation skills with the ability to convey complex scientific concepts to both technical and non-technical audiences.You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You constantly seek new, innovative ways to engineer biology while leveraging existing knowledge and expertise.You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye for creating then optimising processes to improve speed and repeatability. You are a champion for lab automation — across hardware, software, and the agentic workflows that will increasingly orchestrate both. You are excited about what a fully autonomous lab could look like and have the vision and pragmatism to build towards it.What sets you apart (preferred not required)You have built a lab from scratch. You have gone from zero to operational - selecting instruments, establishing workflows, hiring scientists, and building the culture and systems that let a lab scale. This experience sets you apart from those who have only inherited existing platforms.You have worked in a young biotech before. You have experience in startups and contributed meaningfully to the growth of the company. You understand the difference between moving fast and moving recklessly, and you thrive in the ambiguity of an early-stage environment.You bring biological vision, not just operational capability. You have opinions about what biology to do and why — whether in drug design, target selection, or experimental strategy. You see the lab platform not just as infrastructure, but as a means to generate the most scientifically valuable data possible.You are computationally independent. You are as comfortable writing scripts and integrating APIs as you are debugging an instrument on the bench.Your responsibilitiesLead and operate the lab platform [~50% of your time]:Provide strategic direction and oversight for the lab platform scientists, spanning high throughput validation, data collection, and automation workstreams.Manage and conduct the screening workloads with the team. Hands-on at the bench, if required.Work with the the Head of Operations to organise the lab operations.Foster a collaborative and innovative environment, promoting a culture of technical excellence and continuous learning.Mentor and develop team members, enabling their professional growth and fostering their technical expertise.Manage and develop CRO partnerships, identifying when to leverage external capacity and ensuring data quality and turnaround times meet our internal standards.Lab automation vision and strategy [~25% of your time]:Develop and own a comprehensive lab platform strategy: high throughput validation will remain central, and we want to significantly expand our data collection capabilities and progress towards full lab autonomy.Identify, evaluate, and integrate new automation hardware and software.Identify and prioritise platform development areas and projects with the highest potential for scientific impact and commercial success.Develop and execute plans to connect laboratory workflows with agentic AI systems, enabling closed-loop experimental design, execution, and learning.Platform integration and collaboration [~20% of your time]:Work closely with computational biologists, machine learners, and software engineers to deeply integrate the experimental platform with our AI workflows - ensuring that data flows seamlessly from bench to model and back again.Ensure seamless data integration and interoperability between different components of the platform and the interface with machine learning.Integrate external services into our experimental platform work flows.Apply!We offer strongly competitive compensation and benefits packages, a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds. The role will be based in San Francisco.To apply, please fill in our application form

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Role OverviewWe’re hiring a Head of Field Engineering at Oumi to build and lead the customer-facing technical function that bridges Oumi’s platform, product, and research capabilities with customer outcomes. This leader will own the strategy and execution for field engineering across the customer lifecycle, from technical discovery and solution design through proof of concept, deployment, onboarding, and expansion.This is a highly cross-functional role for someone who combines strong technical depth in AI/ML systems with a track record of leading customer-facing technical teams. You will partner closely with Sales, Product, Research, and Engineering to help customers successfully adopt Oumi, shape technical strategy in the field, and build the team, processes, and playbooks that scale.The ideal candidate has experience leading or working closely with sales engineering, applied AI, forward-deployed engineering, solutions architecture, or field engineering teams in fast-moving technical environments.You will:Build and lead the field engineering function: Define the vision, operating model, and roadmap for Oumi’s field engineering organization, including hiring, mentoring, and scaling a high-performing team.Own technical customer engagement: Partner with customers across the pre-sales and post-sales lifecycle, from technical qualification and solution architecture to proofs of concept, deployment, and long-term success.Lead applied AI work: Guide customers in designing, training, and deploying custom models using Oumi’s platform, including data preparation, model training, fine-tuning, evaluation, and production deployment.Partner closely with Sales: Serve as a strategic technical partner to GTM leadership, helping shape deal strategy, remove technical blockers, and improve conversion, expansion, and customer satisfaction.Translate customer needs into product direction: Build strong feedback loops between customers and Oumi’s Product, Research, and Engineering teams to influence roadmap, prioritization, and platform improvements.Establish repeatable playbooks: Develop the technical demos, implementation patterns, enablement materials, and best practices that help both customers and internal teams succeed.Represent Oumi externally: Act as a senior technical ambassador in customer meetings, executive conversations, strategic accounts, and community or partner engagements.What You’ll Bring:Total experience: You have 5+ years of experience across applied machine learning, machine learning infrastructure, solutions engineering, sales engineering, forward-deployed engineering, field engineering, or related customer-facing technical roles.Leadership experience (preferred, not required): You have 2+ years of experience leading teams or managing senior individual contributors in customer-facing technical organizations such as sales engineering, solutions architecture, applied AI, forward-deployed engineering, or field engineering.Customer-facing leadership: You have a strong track record of leading complex enterprise customer engagements and communicating effectively with both technical practitioners and executive stakeholders.Applied AI and ML expertise: You bring a deep understanding of modern machine learning workflows, with hands-on experience training, fine-tuning, evaluating, or deploying foundation models such as LLMs, multimodal systems, or other advanced AI models.Technical depth: You are proficient in Python and have strong practical experience with modern AI/LLM systems, model training frameworks, and production use cases such as RAG, agents, or agentic systems.GTM partnership: You have experience partnering closely with Sales and customer success functions to shape technical strategy, support strategic deals, and improve customer adoption.Builder mindset: You are excited to build a function from the ground up, define processes in ambiguity, and scale what works.Operational excellence: You can operate effectively in fast-changing environments, prioritize well, and drive cross-functional execution end to end.Values: You embody Oumi’s core values: Beneficial for All, Customer-Obsessed, Radical Ownership, Exceptional Teammates, Science-Grounded.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewThe Developer Experience team is what keeps Harvey’s fast growth momentum possible — the kind of fast where every week brings new products, new capabilities, and new challenges. We build the CI/CD systems, internal frameworks, and platform-level guardrails that enable all Harvey engineers to ship ambitious AI features rapidly and safely.As a Software Engineer on the Developer Experience team, you will be responsible for creating frameworks and systems that maximize the velocity and efficiency of every engineer at Harvey. You’ll work across the entire tech stack and collaborate with every team to instill reliability, automation, and simplicity into our developer workflows. You'll also have a unique opportunity to apply AI directly to the problem of developer productivity, defining the future of software development within an AI-native company.If you are passionate about building foundational platforms to enable other engineers to move fast with confidence, we’d love to hear from you.What You'll DoDevelop and scale a world-class developer platform to accelerate Harvey's hyper growth. Boost velocity and stability through robust CI/CD systems, effective test frameworks, and reliable development environments..Build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications.Pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment and maintenance lifecycle.Collaborate with Backend Platform teams to embed testability, reliability and observability into the platform, ensuring services built on our foundation are robust, easy to test and maintain.Work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality — empowering every Harvey engineer to move fast with confidence.Set the strategic direction and roadmap for scaling developer experience as Harvey expands, and contribute strategically to team decision-making.Provide strong technical leadership and mentorship, upholding a high bar for engineering excellence across the team.What You Have5+ years of software engineering experience, including building scalable backend systems or internal developer platforms.Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals and distributed systems.Hands-on experience with CI/CD systems (Builtekite, Github Actions), test frameworks, or load and performance testing.Hands-on experience with container technologies (Docker, Kubernetes) and infrastructure as code (Pulumi, Terraform).A track record of producing high-quality, well-tested code, consistently following software development best practices to ensure quality and reliability.Proven technical leadership throughout the entire project lifecycle, including ideation, design, implementation, and productionization.Experience mentoring engineers, guiding architectural decisions, and shaping culture to foster engineering excellence.Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productiveExcellent collaboration and communication skills, with the ability to work across teams and incorporate feedback.Experience integrating AI agents into a developer ecosystem is a strong plus.Additional InformationWork eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-KV1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI’s infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting-edge AI models. Our work spans system software, networking, platform architecture, fleet-level monitoring, and performance optimization.About the Role We’re hiring an SW Engineer to enable production workloads and end-to-end testing on new platforms. This role will include creating new test harnesses and platform stress benchmarks, porting existing inference and training workloads to new, sometimes early-access, systems/hardware, analyzing performance and bottlenecks, and characterizing the end-to-end behavior of new systems (compute, comms, storage, control plane, and failure modes).Key ResponsibilitiesPort and validate key inference and training workloads on new platforms/SKUs as they arrive; drive correctness, performance, and stability to an internal readiness bar.Build a suite of benchmarks and stress tests that capture real E2E behavior of our workloads by exercising all aspects of a system, including CPU, GPU, memory subsystem, frontend, scale-up, and scale-out networking (including WAN traffic, NVlink and RDMA collectives), storage, thermals, and any other relevant parts.Deep-dive performance on distributed training/inference:Collective performance and tuning (across NCCL/RCCL and internal libraries)Overlap of compute/communication, kernel-level bottlenecks, memory bandwidth and scheduling effectsCreate repeatable test harnesses that run in CI / lab environments and produce actionable outputs (pass/fail, performance score, regression detection).Partner with systems + fleet bring-up engineers to ensure the platform is not only stable and performant, but also operationally usable and scalable (containerization, K8s integration, telemetry hooks, failure triage loops).Work cross-functionally with vendors and internal stakeholders by producing clear bug reports, minimal repros, and prioritized issue lists.QualificationsBS in CS/EE (or equivalent practical experience).5+ years in one or more of: ML systems, performance engineering, distributed systems, or HPC.Strong hands-on experience with:PyTorch and modern LLM training/inference stacksLarge-scale distributed training concepts (data/model/pipeline parallel, collective comms)Experience with RDMA and debugging/optimizing comms libraries (NCCL or RCCL) and their interaction with hardware/networkProficiency in Python plus comfort reading/writing performance-critical code (C++/CUDA/HIP is a plus).Strong profiling/debugging skills (e.g., Nsight, rocprof, perf, flamegraphs; ability to reason from traces/counters).Preferred Skills:Experience building workload-shaped benchmarks and stress/fault tests that correlate to production behavior (not just synthetic loops or microbenchmarks).Familiarity with RDMA networking and transport tuning; understanding of how network topology and congestion impact collectives.Experience running and validating workloads in Kubernetes, and bridging “research code” into robust, repeatable infrastructure.Hands-on lab experience with early hardware (new NICs, new GPUs/accelerators, early racks).About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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At LTV.ai, we’re redefining email marketing for e-commerce brands by automating a lot of the day-to-day manual grunt work that goes into email marketing, from segmentation, to creating campaigns without designers, to personalization.While increasing LTV and driving measurable growth, we help brands stay focused on what matters most – the customer.Why join us?We’re a fast-moving team building a high-growth company that’s transforming the e-commerce industry. As an early team member, you’ll play a key role in shaping both our product and the future of e-commerce, with the opportunity to grow alongside us.Recent winsDeveloped a segmentation engine that leverages e-commerce platform data to personalize interactions in a compliant manner, at scale (100M+ consumers and growing 40% MoM)Built out a data pipeline capable of handling millions of events dailyEnabled the use of multiple LLMs for a single interaction, optimized for the best performance while reducing costsOnboarded some of the largest e-commerce brands across the industry (e.g. Backcountry, J. Jill, Fabletics, Sur La Table) turning them into massive believers in both our product and our visionWe’d like to work onRefining our AI infrastructure to enable deeper segmentation, optimize customer-level memory, and integrate advanced agentic workflows for greater adaptability and efficiencyEnhancing our AI conversation engine to deliver self-optimizing interactions that gather actionable feedbackExpanding our image creation capabilities to provide our brands with a wider medium of emails to send, thus offsetting end brand costs and increasing product adoptionRole ResponsibilitiesServe as a hands-on engineering leader, dedicating ~70% of your time to IC-level contributions (coding, reviewing, debugging, shipping)Architect and maintain scalable, reliable backend infrastructure capable of supporting rapid growth and real-time AI-powered communicationsValidate and pressure-test architectural decisions across the stack – ensuring we build for scale without over-engineeringUnlock engineering velocity by removing blockers, improving developer tooling, streamlining CI/CD, and establishing lightweight processes that keep the team shipping fastEnforce a high bar for code quality while keeping tech debt to near zero – you believe clean code and fast shipping are not at oddsLead and mentor a growing team of engineers, fostering a culture of technical excellence, high ownership, and relentless iterationDrive the technical roadmap in partnership with the founding team, balancing near-term product needs with long-term infrastructure betsDesign and implement core infrastructure that supports AI-native applications, including multi-agent workflows, model routing, and real-time feedback loopsChampion AI-first engineering practices across the org – ensuring we leverage AI coding tools, AI-native architectures, and emerging LLMOps patterns to stay ahead of the industryCollaborate cross-functionally with product, design, and data to prioritize and deliver high-impact featuresWhat we’re looking for (ideally)8+ years of backend engineering experience with deep architectural ownershipProven track record of building and scaling backend systems, preferably in fast-growing SaaS, messaging, or e-commerce environmentsComfortable working in TypeScript (NestJS) and AWS-based infrastructureAI-first mindset – you instinctively reach for AI-native solutions when designing systems, products, and workflowsDeep experience with or interest in LLMOps, AI application infrastructure, and emerging tools that accelerate AI product developmentExcitement about using AI coding tools to boost velocity (e.g. Cursor, Copilot, Claude Code)A strong sense of engineering taste – you know when to build fast and when to build right, and you’re allergic to unnecessary complexityExperience leading or mentoring small, high-performing engineering teamsPragmatic and adaptable – someone who thrives wearing many hats and moves fast without sacrificing qualityOur StackFrontend: React (TypeScript)Backend: NestJS (TypeScript)Infrastructure: AWS managed with TerraformDatabases: PostgreSQL & ClickHouseCompensation + BenefitsCompetitive compensation, equity, and a commitment to your personal and professional growth.If this role sounds like it could be a fit, we’d love to hear from you! Feel free to reach out to our founder directly – asad@ltv.ai.Not looking but know someone who would make a great fit? Refer them!

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About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.The Role: As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments. Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles. Robust coding skills required, preferably with proficiency in Python. Demonstrated ability to lead and execute complex technical projects with a focus on customer success. Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams. Preferred Qualifications: Master’s degree in Computer Science, Engineering, or a related technical field. Experience working in a startup or fast-paced environment. Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). Solid understanding of generative AI, machine learning principles, and enterprise infrastructure. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.Base Pay Range (Plus Equity)$170,000—$240,000 USDWhy Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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  About the Company Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. Named one of Fast Company's Most Innovative Companies, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.    With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us.    Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.      About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process.  Location. This role is office-based at our Bellevue, Washington office.  What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 14 paid company holidays per year #LI-SM2 #LI-Onsite   Compensation$154,560—$193,200 USD  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms.   Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication. Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation. Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization. Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments. Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness. Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads. Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments. Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events). Required Qualifications: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience. 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D 2+ years of people leadership experience Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models. Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches. Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications. Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs. Proficiency with version control, debugging, and test-driven development in cross-functional teams. Ability to obtain a SECRET clearance. Preferred Qualifications: Hands-on integration or algorithm development with airborne sensing systems. Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks. Experience deploying perception software on SWaP-constrained platforms. Familiarity with validating perception systems during flight test events or operational environments. Understanding of sensing challenges in denied or degraded conditions. Exposure to perception applications across air, maritime, and ground platforms. 220,441 - 330,661 a year#LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll doBuild the Intelligence layer at Sierra. You’ll work on systems that analyze millions of agent interactions and generate insights that improve agent performance and customer outcomes.Turn conversations into insights. You’ll build systems for analyzing, clustering, and exploring large-scale conversational data.Enable evaluation and experimentation. You’ll design systems that allow us and our customers to measure agent quality and run experiments.Develop learning systems. You’ll work on retrieval, ranking, personalization, and feedback loops that make agents more effective over time. What you'll bringA passion for being on the frontier of AI products.Strong software engineering fundamentals and experience building production systems.Experience working with data systems, analytics, or machine learning-driven products.Motivation and high-agency to drive outcomes in a fast-moving environment.4+ years hands-on experience building production systems or data products.Degree in Computer Science or related field, or equivalent professional experience.Even betterExperience with retrieval, ranking, or recommendation systems.Experience building analytics or data exploration tools.Experience working with large-scale data systems.Experience building AI-powered products.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll doBuild the core systems that power agents. You’ll work on the Agent SDK — the orchestration engine, runtime, and primitives that define how agents reason, take actions, and interact with users and systems.Design the agentic loop. What primitives do we need to build agents that are steerable and verifiable, while still conversational and adaptive? You’ll help define how agents operate in real-world environments.Improve retrieval and grounding. You’ll build systems that ensure agents provide accurate, trustworthy responses by effectively retrieving and using knowledge.Build evaluation systems. You’ll design frameworks that allow us and our customers to measure and improve agent quality over time.What you'll bringA passion for being on the frontier of AI products.Strong software engineering fundamentals and experience building production systems.Motivation and high-agency to drive outcomes in a high-autonomy culture.4+ years hands-on experience building production products and systems.Degree in Computer Science or related field, or equivalent professional experience.Even betterExperience building AI-powered systems or agent frameworks.Experience with retrieval, evaluation systems, or LLM-based applications.Experience building developer platforms or SDKs.Experience with Go and Typescript.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the team Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.About the roleWe are looking for an ambitious Software Engineer to join our Defence team and help us push the boundaries of what’s possible in cloud and edge computing. In this individual contributor role, you will work alongside senior technical leaders to implement high-impact patterns and practices that elevate the quality of our technical delivery. This is an opportunity to operate at the intersection of Machine Learning Engineering and Data Science, applying elite engineering standards to solve complex, real-world problems that provide immediate value to our customers.What you'll be doing:Building and extending critical components of client deliverables across diverse software domains.Delivering robust technical artefacts in both compiled and non-compiled languages to meet project goals.Implementing defined engineering patterns and practices specifically tailored for the Defence sector.Collaborating closely with MLE and Data Science teams to integrate and refine technical solutions.Applying rigorous software engineering best practices to enhance the scalability and quality of our codebases.Executing CI/CD processes and managing application deployments on Kubernetes and bare metal environments.Who we're looking for:You have a proven ability to solve bounded technical problems and deliver robust, scalable technologies.You possess hands-on experience in application development with a solid understanding of system architecture.You are proficient in Python and have contributed to production codebases in Rust, C++, Go, C#, or Java.You have experience participating in complex technical projects, including pair programming and code reviews.You bring a genuine passion for understanding customer problems and delivering high-value solutions.You are comfortable working with Docker and GitLab to manage modern deployment pipelines.The Interview ProcessTalent Team Screen (30 minutes)System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid WorkingIf you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the team Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.About the roleWe are looking for an ambitious Software Engineer to join our Defence team and help us push the boundaries of what’s possible in cloud and edge computing. In this individual contributor role, you will work alongside senior technical leaders to implement high-impact patterns and practices that elevate the quality of our technical delivery. This is an opportunity to operate at the intersection of Machine Learning Engineering and Data Science, applying elite engineering standards to solve complex, real-world problems that provide immediate value to our customers.What you'll be doing:Building and extending critical components of client deliverables across diverse software domains.Delivering robust technical artefacts in both compiled and non-compiled languages to meet project goals.Implementing defined engineering patterns and practices specifically tailored for the Defence sector.Collaborating closely with MLE and Data Science teams to integrate and refine technical solutions.Applying rigorous software engineering best practices to enhance the scalability and quality of our codebases.Executing CI/CD processes and managing application deployments on Kubernetes and bare metal environments.Who we're looking for:You have a proven ability to solve bounded technical problems and deliver robust, scalable technologies.You possess hands-on experience in application development with a solid understanding of system architecture.You are proficient in Python and have contributed to production codebases in Rust, C++, Go, C#, or Java.You have experience participating in complex technical projects, including pair programming and code reviews.You bring a genuine passion for understanding customer problems and delivering high-value solutions.You are comfortable working with Docker and GitLab to manage modern deployment pipelines.The Interview ProcessTalent Team Screen (30 minutes)System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid WorkingIf you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

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About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users.That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time.About the Role We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale.You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on.What You’ll DoDesign and build execution environments for AI agents, including sandboxing, isolation, and reproducibility.Develop systems for agent orchestration across multi-step, tool-using workflows.Build infrastructure for running, testing, and debugging code generated by models.Create state and memory systems that allow agents to persist context across long-running tasks.Optimize tokens, latency, reliability, and cost across Codex’s production fleet.Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale.Build shared platform capabilities that unblock product teams, partner teams, and open source Codex.You Might Be a Good Fit If YouHave strong experience in distributed systems or infrastructure engineering.Have built systems involving containers, sandboxing, or virtualization.Are comfortable working across backend systems, APIs, and developer tooling.Care deeply about system reliability, performance, and security.Enjoy working on ambiguous, zero-to-one problems.Want to help build the systems that turn model capability into a dependable software engineering agent.Bonus PointsExperience with code execution platforms, CI/CD systems, or build systems.Familiarity with LLMs, agents, or tool-use frameworks.Background in security engineering or isolation systems.Experience building developer platforms, IDE tooling, or open source infrastructure.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users.That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time.About the Role We’re looking for applied AI engineers to help bring Codex agents from impressive demos to dependable tools. This role is about improving agent performance on real software engineering tasks and closing the gap between research capability and real-world usefulness.You’ll work closely with research, infrastructure, and product to ensure agents are not just powerful, but useful, steerable, and reliable in practice. The job is not only to improve model behavior in isolation, but to turn those improvements into measurable gains in solve rate, usefulness, and economic value for users.What You’ll DoDesign and iterate on agent behaviors across real-world coding tasks and long-horizon workflows.Work closely with research to develop and run evals to measure agent performance, regressions, failure modes, and edge cases.Improve performance through prompting, tool-use strategies, context construction, and model-facing experimentation.Analyze failures in production and systematically improve robustness and reliability.Build feedback loops and data systems that get better real-task data into evaluation and research.Work with product teams to shape user-facing agent experiences and the interfaces the agent depends on.Help define what “good” looks like for agents completing complex tasks end-to-end.You Might Be a Good Fit If YouHave experience building or shipping machine learning or LLM-powered products.Are strong in Python and comfortable with modern ML tooling.Have worked on model evaluation, fine-tuning, or prompt design.Think in terms of systems and user outcomes, not just model metrics.Enjoy debugging messy, real-world failures and turning them into improvements.Want to work in the layer that turns research and model potential into systems that actually work for users.Bonus PointsExperience with agent frameworks or tool-using LLM systems.Research experiencewith code generation models or developer tooling.Experience working with large, messy datasets or production logs.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Senior Data EngineerLocation : PuneWork model : In officeHackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Position SummaryHackerOne is seeking a Senior Data Engineer to lead the discovery, architecture, and development of high-performance, scalable data products and solutions. Joining our growing, distributed organization, you'll be instrumental in building the foundation that powers HackerOne's enterprise transformation from human-powered operations to data-driven, AI-powered, and human-led agentic operations.You’ll achieve success by leading with AI-first thinking, demonstrating agility through change, applying first-principles problem solving, and using data to learn and adapt along the way. Leveraging your technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel HackerOne forward.Enterprise Data & AI MissionEnterprise Data & AI provides the data and systems to enable our enterprise transformation from human-powered operations to data-driven, AI-powered, and human-led agentic operations. This data and systems infrastructure includes autonomous AI agents handling routine or repeatable work and centralized AI and data infrastructure for cross-org leverage.What You Will DoLead the end-to-end design and delivery of scalable, secure, and intelligent data products and solutions that support HackerOne’s transformation into an AI-first organization.Partner across business and engineering teams to identify high-leverage opportunities for automation, integration, and system modernization.Drive the architecture and execution of platform-level capabilities, leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience.Provide technical leadership to internal engineers and external development partners, ensuring design quality, operational excellence, and long-term maintainability.Shape and contribute to our incident and on-call response strategy, playbooks, and processes, focusing on building systems that fail gracefully and recover quickly.Act as a multiplier to mentor other engineers, advocate for technical excellence, and promote a culture of innovation, curiosity, and continuous improvement.Champion effective change management and enablement, ensuring systems are not only launched, but adopted, understood, and evolved.Minimum Qualifications6+ years of experience in a Data, Engineering, Science, or similar role w/ proven track record of leading the design, development, and deployment of AI-first data products and solutions (preferably using Python).Extensive hands-on experience building and optimizing data pipelines, products, and solutions.Strong SQL for data manipulation and programming skills.Knowledge of algorithms and data structures.Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, Looker, and AWS.Experience with infrastructure as code tools such as Terraform or PulumiProven track record of successfully championing new initiatives focused on architectural enhancements.Proven track record of having substantial impact across the company, demonstrating your ability to drive positive change and achieve significant results.Passion for working backwards from the Customer and empathy for business stakeholders.Excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats.Preferred QualificationsProven track record of driving innovation, adopting emerging technologies, and implementing industry best practices.Experience building and managing a cloud deployed data lakeExperience working with Kubernetes.Experience working with Agile and iterative development processes.Understanding of network architecture.Interview ProcessHiring Manager roundTechnical Interview (coding)Team InterviewLeadership round along with a assignment(Round 2 and 3 will be scheduled paralleling)Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance Program*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

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About the Company:Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us! About the Role Netomi is looking for a Solution Engineer - a key technical leader at the intersection of pre-sales engineering, AI architecture, and product innovation. This individual will design and implement agentic workflows that leverage the Netomi platform to power real-world enterprise solutions. You’ll work directly with enterprise clients and internal stakeholders to translate visionary AI concepts into practical, scalable systems - enabling AI agents to engage, reason, and act autonomously within complex customer ecosystems. Responsibilities Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform. Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools to power experiences for our customer’s end users. Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific clients use cases. Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability across varied use cases. Communicate complex technical concepts clearly and persuasively to audiences ranging from C-level executives to hands-on engineers. Collaborate with product and engineering teams, contributing insights from customer engagements to inform roadmap priorities. Document and present solution designs, workflows, and technical configurations for both internal and client-facing reference. Requirements 1-2 years of experience in a customer-facing sales engineering or solutions engineering role, ideally in AI, automation, or enterprise SaaS. Hands-on experience with AI prompt design, workflow orchestration, and integrating REST APIs, webhooks, and cloud services (AWS, GCP, or Azure). Working knowledge of JavaScript, Python, or related scripting languages for building integrations and automation logic. Proven ability to architect and communicate end-to-end technical solutions that align AI capabilities with business outcomes. Functional understanding enterprise software ecosystems, and data flow patterns. Excellent communication, presentation, and interpersonal skills with a record of collaboration across technical and non-technical teams. Preferred Qualifications Experience in agentic or autonomous AI systems (e.g., LangChain, LlamaIndex, or similar frameworks). Familiarity with MLOps, AI governance, and compliance in production-scale deployments. Background working in high-growth startup environments. Awareness of UX/UI principles for designing customer-facing AI experiences. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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About the Company:Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us! About the Role Netomi is looking for a Senior Solution Engineer - a key technical leader at the intersection of pre-sales engineering, AI architecture, and product innovation. This individual will design and implement agentic workflows that leverage the Netomi platform to power real-world enterprise solutions. You’ll work directly with enterprise clients and internal stakeholders to translate visionary AI concepts into practical, scalable systems - enabling AI agents to engage, reason, and act autonomously within complex customer ecosystems. Responsibilities Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform. Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools to power experiences for our customer’s end users. Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific clients use cases. Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability across varied use cases. Communicate complex technical concepts clearly and persuasively to audiences ranging from C-level executives to hands-on engineers. Collaborate with product and engineering teams, contributing insights from customer engagements to inform roadmap priorities. Document and present solution designs, workflows, and technical configurations for both internal and client-facing reference. Requirements 4-6 years of experience in a customer-facing sales engineering or solutions engineering role, ideally in AI, automation, or enterprise SaaS. Hands-on experience with AI prompt design, workflow orchestration, and integrating REST APIs, webhooks, and cloud services (AWS, GCP, or Azure). Working knowledge of JavaScript, Python, or related scripting languages for building integrations and automation logic. Proven ability to architect and communicate end-to-end technical solutions that align AI capabilities with business outcomes. Functional understanding enterprise software ecosystems, and data flow patterns. Excellent communication, presentation, and interpersonal skills with a record of collaboration across technical and non-technical teams. Preferred Qualifications Experience in agentic or autonomous AI systems (e.g., LangChain, LlamaIndex, or similar frameworks). Familiarity with MLOps, AI governance, and compliance in production-scale deployments. Background working in high-growth startup environments. Awareness of UX/UI principles for designing customer-facing AI experiences. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Perception for Contact Rich Manipulation you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap. Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).  Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems. Experience in LfD (Learning from Demonstrations), kinesthetic learning. Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context. Experience deploying machine learning models on edge compute hardwar​e. At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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About the roleWe’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk.While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will:Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents.Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact.Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage.Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale.Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence.Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed.Anticipate what breaks at scale as agentic workflows become more capable.You might thrive in this role if you:Experience building systems in adversarial, fast-evolving environmentsAre comfortable with ambiguity and noveltyHave experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments)Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny.Significant experience leading engineering teams and delivering production systems end-to-end.Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability.Demonstrated ability to partner cross-functionally with Research/Product/Security to ship systems that materially reduce risk or abuse at scale.Familiarity with model extraction / distillation, adversarial evaluation, or scalable detection/mitigation approaches.Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.