The AI job market moves fast. We keep up so you don't have to.

false

About the Role: We are seeking a Backend / Systems Engineer to help build a flexible, robust, and high-performance backend architecture that serves diverse use cases across customers and product lines. Your work will be critical in enabling our AI engineers, analysts, and data scientists to rapidly prototype, iterate, and deploy workflows, services and data pipelines that leverage large language models (LLMs).This is a high-impact role that blends backend engineering with thoughtful system design to accelerate product development and real-world impact of AI Systems, in particular LLMs.What You'll Do:Design and build extensible backend systems that support flexible configurations for different customers and content types.Develop infrastructure that interfaces cleanly with LLMs, enabling prompt engineering, context injection, and modular evaluation workflows.Build tooling and platforms that enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.Prioritize ease of deployment, integration, and testing, both for internal teams and external partners.Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems. What We’re Looking For:5+ years of experience in backend systems or infrastructure engineering.Strong software engineering skills in Python, Go, Java, or equivalent.Experience designing scalable APIs, backend systems and data pipelines.Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows).Strong understanding of cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines).Passion for building systems that unlock velocity and experimentation for cross-functional teams. Nice to Have:Background in trust & safety, or content moderation.Familiarity with Django, Snowflake, React, Step functions.Experience with LLM-Ops and DevOps.Why Join Us?Work with renowned industry leaders in AI and online safety who have built and scaled Trust & Safety systems at companies like Google, YouTube, TikTok, and Reddit, helping shape how technology operates responsibly at global scale.Build greenfield systems from the ground up, with real ownership over core architecture rather than maintaining legacy platforms. This is a rare opportunity to define foundational infrastructure at a pivotal moment in AI adoption.Apply AI technology to real-world, high-impact use cases at meaningful scale, including work with blue-chip and government customers, where reliability, trust, and accountability truly matter.Work in an environment that values engineering rigor, sound judgment, and psychological safety, with the ability to focus deeply on your craft without unnecessary bureaucracy.We offer competitive compensation, including a base salary range of $150,000–$220,000 USD, along with equity, comprehensive benefits, and a hybrid in-office work environment. Compensation is determined based on experience, skills, and scope of impact.

false

Forward Deployed EngineerAbout Bland AIWe’re a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world. Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, Better.com, and others.Why This Role ExistsEvery customer is different — the problems they’re solving, the data they have, and the impact they want to create with AI. We’re looking for someone who thrives in that ambiguity, who can take fuzzy goals and transform them into working, production-ready agents that deliver real value. You’ll work directly with customers to understand their workflows, build tailored agents, and help shape how Bland is adopted across their organization.What You’ll DoDesign and deploy AI solutions. Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes.Prototype fast, iterate faster. Build the first version quickly, get it into production, and refine based on real-world feedback.Collaborate deeply. Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes.Own end-to-end delivery. From discovery call to deployment, you’ll lead the technical build, testing, and iteration — ensuring the experience feels natural, human, and on-brand.Drive adoption and expansion. Share results, train teams, and embed yourself within the customer organization to uncover new opportunities for automation and scale.Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners.Must-Have Qualifications0–10 years of experience in full-stack, AI, or solutions engineering roles where you owned builds from concept to production.Proven experience building and integrating AI or automation features into real-world applications.Hands-on experience integrating LLMs or AI SDKs into web applications.Strong comfort working with REST/JSON, scripting languages (Python or JavaScript), and modern dev tools (Git, NPM/PNPM).Track record of ownership and grit — moments where you built something from scratch, solved hard problems, or exceeded expectations.Excellent communication skills — you can explain complex AI concepts clearly to both technical and non-technical audiences.Thrives in a fast-moving, high-intensity environment — motivated by challenge, curiosity, and the pursuit of great work.Willingness to work in-person frequently (SF HQ and customer sites) to collaborate and accelerate learning.Nice-to-HavesHands-on experience experimenting with or deploying LLM-powered tools or agents.Prior startup or founder experience — you know what it takes to build without a playbook.Curiosity about AI agent design, orchestration, and automation systems.Experience working directly with customers to identify pain points and turn them into shipped solutions.A portfolio of personal or side projects that showcase creativity, technical depth, and persistence.Exceptional new grads with strong ownership and ambition are welcome to apply.Why you'll love working hereYou’ll be joining one of the fastest-moving AI teams in the world — where speed, creativity, and ownership are the default. You’ll ship real agents used by real customers, working directly with teams that are transforming how humans and AI collaborate.This role is perfect for someone who loves building, learning, and pushing boundaries a hands-on candidate who wants to see their work in the wild, solving real problems for real people.Relentlessness is the most important qualityIf you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you.Compensation & PerksSalary: $120k – $180k base + meaningful equity + benefits.Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).

false

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. About the roleWe’re looking for a Product Manager for Ghostwriter: the agent-building agent.Ghostwriter transforms how software is built. Instead of navigating tools, users simply describe what they want, and Ghostwriter creates and deploys fully functional AI agents across channels like chat, voice, and email.As PM for Ghostwriter, you will define how humans interact with software in the agent era. You’ll own the end-to-end product experience—from prompt → agent → outcome—and help scale Sierra to thousands of customers.This is a zero-to-one and one-to-many role at the same time.What you'll doDefine how AI augments agent development — shape the workflows by which CX teams and developers draft journeys, run simulations, analyze conversations, and improve agents using natural language.Balance autonomy and control — design the right human-in-the-loop patterns (approval flows, change review, workspace isolation) so customers trust Ghostwriter to make meaningful changes to their agents.Partner deeply with AI/ML and platform engineering — collaborate on model selection, harness engineering, execution architecture, and evaluation/testing infrastructure.Be the voice of the agent builder — deeply understand the pain points of CX managers, agent developers, and technical teams configuring journeys, integrations, and simulations.What you'll bring3+ years of product management experience, with meaningful time working with large language models directly.Experience shipping AI products at the frontier — you deeply understand frontier model capabilities and limitations, evaluation challenges, and the unique UX considerations of non-deterministic systems.Track record of 0→1 product development — you've taken an early-stage product and driven it to broad adoption; comfortable with high ambiguity and rapid iteration.Strong technical depth — ability to engage meaningfully with engineers on architecture decisions (e.g., harness design and engineering, workspace isolation, API design).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.

false

The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Model Optimization & Deployment Engineer, you will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience in compressing, accelerating, and deploying complex models (LLMs, VLMs, or FMs) for power- and thermal-constrained vehicle SOCs. You will optimize the ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices.In this role, you will: Optimize large-scale models (LLMs, VLMs) using advanced quantization (PTQ, QAT), mixed-precision inference workflows, and parameter-efficient fine-tuning (LoRA, QLoRA). Architect and implement model conversion and compilation pipelines using TensorRT and TensorRT-LLM for edge deployment. Perform rigorous parity checking, accuracy recovery, and latency benchmarking between PyTorch frameworks and compiled edge binaries. Write and optimize custom CUDA kernels and TensorRT Plugins to maximize memory bandwidth and minimize latency on AI accelerators. Write production-level, highly concurrent, and memory-safe C++ and Python code for real-time inference on vehicle SOCs. Qualifications: Deep expertise in model quantization (PTQ, QAT) and mixed-precision inference workflows (INT8, FP8, INT4, BF16/FP16). Proven experience optimizing large-scale models (LLMs, VLMs, or VLAs) utilizing KV-cache optimization (e.g., PagedAttention), Speculative Decoding, and Efficient Attention mechanisms (FlashAttention, Linear Attention). Extensive experience with model conversion/compilation pipelines (TensorRT, TensorRT-LLM) and performing rigorous parity/latency benchmarking. Proficiency in low-level programming for AI accelerators, specifically writing and optimizing custom CUDA kernels and TensorRT Plugins. Production-level C++ (14/17/20) and Python programming skills, with experience writing concurrent, memory-safe, real-time inference code for edge devices. Bonus Qualifications: Experience with distributed training pipelines and model/tensor parallelism (PyTorch Distributed, Ray, DeepSpeed, Megatron-LM) and runtime efficiency optimization for GPU clusters. Familiarity with autonomous driving perception stacks (temporal 3D object detection, BEV, 3D Occupancy Networks) and processing multi-modal sensor streams (Vision, LiDAR, Radar). Understanding of end-to-end autonomous driving paradigms (VLA models, closed-loop simulation validation). 242,000 - 290,000 a year Base Salary Range   There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.   Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

false

Do you get excited when your software actually interacts with the physical world?  Are you ready to learn the new exciting world of smart robots? Do you feel tired of working in a big company? Would you like to cooperate with top professionals in our industry? If your answers are mostly yes, then you should keep reading.  At Nomagic, we’re on a mission to teach robots the real world. We’re now looking for a Senior Robotics/Software Engineer - Grippers R&D, who’s ready to deep dive into the hard problems of physical manipulation (trying to match with software the millions of years of development leading to the human hand + eye) and share his software development and design experience with our amazing team. Offer essentials: Play with robots every day! Salary: 26 000 - 32 000 gross UoP per month + equity Equity for every employee Relocation package  Truly flexible working hours  English-speaking environment Partly remote work is possible! Here is why we love this job ourselves, and hope you will enjoy it too: We build robots powered by AI We have them in production at scale and see their real impact on critical operations. We test our code in unit tests, simulations and on real robots! We’re still pretty small, so everyone has a direct impact on the final result Our team has built Google Warsaw, unicorn startups (Climate Corp), tested rocket engines and worked at top companies such as Nvidia or ByteDance. Now we shape the future of smart robotics together! We combine world-class research with top notch engineering and apply it to solve real problems Some of the problems you may try to solve with us: Building the best-in-the-world objects manipulation system with cross-functional R&D team (Hardware, Software & AI) Inventing and implementing strategies for using new robotic grippers, handling previously unpickable items Improving adaptability, scalability & reliability of robotic platform  Using data to build heuristics for handling different categories of items Detecting anomalies, e.g. using a combination of signals to determine if a robot picked more than one item at once or if one item is disassembling What skills we'd like you to have: 3+ years of experience in software development 3+ years of experience in robotics (manipulators, AGV’s, UAV’s, sensors) Great problem solving and proficiency in one of modern programing languages (we use Python) Experience in designing systems spanning software and hardware components Great understanding of physics principles related to objects manipulation  Wide range of mechatronics knowledge, from mechanical design principles to AI image processing Fluent communication in English What should you expect once you apply? 60 minutes Technical prescreen 45 minutes Hiring Manager interview Onsites - half a day of interviews & discussions at the office  See a short sneak peek of our product here:   https://vimeo.com/manage/videos/1051464045 https://vimeo.com/manage/videos/1051465112    

false

ABOUT US:Brisk Teaching is the leading AI platform for K-12 educators, empowering teachers to deliver personalized, curriculum-aligned instruction at scale. Our Classroom Intelligence tools connect teachers, students, and curriculum—making meaningful learning happen in classrooms every day. We believe the best technology is cutting-edge, respects teachers’ time, integrates into real classrooms, and helps educators focus on what matters most.Since launching, Brisk has experienced rapid growth. Over 2 million teachers use our platform, and we partner with districts and schools nationwide to transform how educators teach and how students learn.We're backed by leading venture and edtech investors including Bessemer Venture Partners (Shopify, LinkedIn, Anthropic, Perplexity) and Owl Ventures (Newsela, Quizlet, MasterClass), with a team spanning top AI companies and real classroom experience.We're a fast-moving, collaborative team driven by a shared commitment to educator impact and product excellence. Our values—urgency, ownership, and focus—shape how we build and who we are.THE OPPORTUNITY:We've already started building something we think fundamentally rethinks how data science gets done at a company. We have an internal data agent that can query our warehouse, interpret results, and surface insights to stakeholders directly. It works. People use it. And it's changed how our team operates day to day.Now we need someone to take it further. As Brisk's product and organization grow, the systems underneath need to grow with them: a more robust semantic layer, better tooling for experimentation, more sophisticated automation across the data lifecycle, and the strategic thinking to decide where AI amplifies the team's work and where it replaces manual processes entirely.This role is equal parts strategy and execution. You'll own the vision for how data drives decisions across Brisk, scale the AI-native workflows we've started, and build the systems that turn a small data team into one that operates like a much larger org. You'll report directly to leadership and have a seat at the table on product strategy, go-to-market, and company priorities.YOU WILL:Set the data strategy: Define what we measure, how we measure it, and what "good" looks like. Establish the metrics architecture that connects product usage, retention, monetization, and growth into a coherent picture, and make sure every team at Brisk is oriented around it.Turn the data team into a product team: Build internal data products that stakeholders across the company actually use daily. Replace ad-hoc requests with self-serve AI interfaces, automated reports, and tools that make data accessible to non-technical teammates.Make the warehouse AI-readable: Build the semantic layer, documentation, and context infrastructure that lets both humans and AI systems query Brisk's data accurately. A well-documented warehouse is the foundation for every AI-powered workflow that follows.Build AI into the data lifecycle: Identify where AI agents, automated pipelines, and LLM-powered tooling can replace manual work: dbt model generation, data quality monitoring, experiment analysis, insight delivery. Ship these systems into production.Own product analytics and experimentation: Partner with Product, Engineering, and Design to design experiments, interpret results, and deliver the insights that shape what we build. Bring rigor to how we evaluate features and make ship/no-ship decisions.Drive growth and business intelligence: Maintain and evolve dashboards and reporting for Sales, Marketing, Customer Success, and leadership. Ensure the metrics that matter are visible, trusted, and actionable.Scale through systems, not headcount: Build infrastructure and AI-powered tooling that multiplies the team's output so a small data org can support a fast-growing company without scaling linearly.YOU HAVE:8+ years of experience in data science, analytics engineering, or a related role. You've operated across the full analytics lifecycle and seen what works (and what doesn't) at scale.Comfort with ambiguity and speed: You've worked at a startup or similar environment where priorities shift fast, resources are limited, and scrappiness is a survival skill. You don't need a playbook to get started.Strategic instincts: You identify which questions matter, not just answer the ones you're given. You've partnered with product and business leaders to shape roadmaps, define success metrics, and make hard tradeoffs.Deep SQL and warehouse expertise: You think in SQL. You've built and maintained data models, designed schemas, and know what it takes to keep a warehouse clean, documented, and trustworthy.Pipeline and infrastructure experience: You've built data pipelines and dealt with data quality issues firsthand. You understand the plumbing as well as the dashboards.dbt experience: You've built and maintained production dbt models: transformations, testing, documentation. You understand how a well-structured dbt project makes everything downstream better.Strong product sense: You've worked closely with product teams, you understand what drives user behavior in software (ideally in edtech or SaaS), and you have good instincts for what to measure and what to build.Enough engineering chops to ship: You can build a working tool in Python, wrangle APIs, and write code that other people can maintain. You're not a SWE, but you're not afraid of production.Genuine excitement about AI: You've been building with LLMs. You have opinions about which models are good at what, you've experimented with agents or RAG systems, and you believe AI is going to fundamentally change how data teams operate.Builder mentality: You see a manual process and you can't help but automate it. You ship fast, iterate, and care more about impact than perfection.BONUS:Experience with Snowflake.Background in edtech or K-12 education.Experience building internal tools (Slack bots, CLI tools, self-serve interfaces) that people actually used.A/B testing and experimentation design.Experience managing or mentoring data team members.Early-stage startup experience where you've built a data function from the ground up.WHAT WE OFFER:Competitive salaryStock options, vested over 4 yearsComprehensive benefits package, including health, dental, and vision insurance.Opportunities for professional growth and development.Collaborate with your teammates two times a week via our hybrid model in either our San Francisco or New York City offices.A supportive and collaborative work environment.The chance to make a meaningful impact on education through innovative technology.Equal Employment Opportunity & DiversityAt Brisk, we believe that diverse perspectives make better teams and stronger products. We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, disability, or any other legally protected status.

false

  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.  

false

About LorikeetLorikeet is the most powerful customer support AI for complex businesses — fintechs, healthtechs, marketplaces, and delivery services.We're building from the ground up on the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases — not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle what's next: delivering personalized, concierge-level service to their customers.To pull this off, we're drawing on Jamie's experience as an early member of Google's generative AI team, Steve's experience building for operational teams at Stripe, and a broader team that's come from Stripe, Canva, Atlassian, Dropbox, and Dovetail.We're growing fast, have paying customers, real revenue, and a strong pipeline. We've raised over USD $50M from leading VCs and angels including QED, Blackbird, Square Peg, Claire Hughes Johnson (ex-Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).Our global customers include the largest telehealth company in Australia, the largest bank for teens in the US, one of the largest NFT marketplaces by trading volume, one of the largest Web3 gaming companies — and a handful of other enterprise customers processing over 1 million support tickets a year. What's unique about this opportunityYou'll be part of our first engineering team in New York. We're opening our first US engineering office and hiring a small, senior team from the ground up. Whether you're a strong mid-senior engineer ready for more scope or a staff engineer looking to lead — this is a chance to shape what the team looks like, not just join it.Technical founders and an engineering-led culture. Everyone at Lorikeet owns working with our users and building a great product for them. Engineers take on challenging problems, define solutions, and ship them — end to end, increasingly through agent-assisted workflows.We build at the frontier. Coding agents are central to how we work — they're doing a meaningful share of our coding. That doesn't mean pushing a button and shipping whatever comes out. It means exercising strong engineering judgment: knowing how to prompt well, iterate fast, set up the right feedback loops, and catch what the agent missed before it hits production.On the technical cutting edge. With our users, we're defining what an AI-first SaaS product looks like. No one has figured out the UI/UX, capabilities, and data models of an AI-first company — it's white space for us to invent. The agent problems we're solving go beyond the cutting edge at the biggest research labs.Warm, mature, in-person, flexible culture. Low ego, high trust. No tolerance for talented jerks. We work together in our New York office Monday through Thursday. People on the team have young families, so we embrace working efficiently and flexibly to fit life outside of work.High pay, high expectations, high performance. We pay US market rates and aim to match the best. On top of competitive base salaries, we offer a potentially life-changing equity stake. Our team gets the same monthly investor updates we send to our backers — because they're investors and owners too.About the roleYou'll be building something that's genuinely innovating the world of customer support. Together we'll be defining what AI-first product development looks like in practice — the UI/UX, the capabilities, the data models. It's a wide open problem space.Day to day, you'll take ownership of hard problems from idea to production. That means working closely with coding agents as a core part of your workflow, building the tooling and feedback systems that make them effective, and bringing the engineering judgment to know when the output is ready to ship — and when it isn't. Senior engineers will own features end-to-end; staff-level candidates will have the opportunity to shape technical direction for the team.Our stack is TypeScript, React/Remix, PrismaORM, NestJS, and some Python. Knowledge of the stack is nice; we know good engineers pick things up fast.We'd love to talk if youHave meaningful experience shipping code at a startup or company with high engineering standardsAre excited to work with a top-calibre team on genuinely novel AI problemsAre comfortable working with coding agents as a core part of how you build — not just as autocomplete, but as a real development workflowAre looking for a career-defining opportunity: real scope, real ownership, and real upside at a fast-moving companyIf you're from an underrepresented background and don't tick every box, please reach out anyway! We value user obsession and eagerness to learn over traditional credentials.

false

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who We're Looking For As a Data Scientist (Algorithm Engineer) in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With industry experience (post Masters of PhD) in a commercial, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. This Role In this role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments. Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Driving internal R&D and product development, helping to refine models and identify new areas of application. Mentoring junior team members and providing technical guidance to help them grow. Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

false

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.Gong is seeking a hands-on Staff, AI Enablement and Innovation professional to own our internal AI operating model. Sitting within our IT organization, this role is the heartbeat of our internal digital transformation. You will empower our internal teams by bridging the gap between high-level business discovery and deep technical execution. You will be the primary architect of Gong’s internal agentic strategy—responsible for "mining" the business for efficiency opportunities while simultaneously building the centralized orchestration layer that ensures our enterprise AI spend is governed, consistent, and scalable. This is a high-impact IC (Individual Contributor) role designed for a "scrappy builder" who thrives on turning internal complexity into streamlined, automated excellence. RESPONSIBILITIES Strategy & Governance (The "Guardrails") Define the Roadmap: Partner with Security, Legal, and business leaders to define the internal AI roadmap. Own the Stack: Operate the enterprise AI stack, including LLMs, vector databases, and gateways. Standardization: Enforce consistent patterns for tool calling, prompt versioning, state management, and error handling to prevent fragmented, "ad-hoc" agent implementations. Lifecycle Management: Manage the full model lifecycle, from evaluation and testing to upgrades and deprecations. Discovery & Execution (The "Gold Mining") Business Partnership: Proactively interview teams (Talent, Support, Sales) to identify manual workflows that can be automated via agentic AI. Proof of Efficacy: Build and deploy POCs independently to demonstrate ROI before scaling. Financial & Performance Operations (The "Numbers") Cost Management: Own the token procurement process and build forecasting/chargeback models to prevent uncontrolled spend. Performance Monitoring: Build dashboards to track SLAs/SLOs (latency, accuracy, uptime) and monitor usage, cost, and error rates. Optimization: Proactively identify opportunities for cost-saving (e.g., model switching) and performance tuning. QUALIFICATIONS The Persona: You are a Senior IT Business Analyst, Technical Implementation Lead, or Solutions Architect.  Technical Depth: Practical, hands-on experience with the modern AI stack (OpenAI, Gemini, Anthropic, Vector DBs). You understand the nuances of state management and prompt versioning. Scrappy Builder: You have a "hands-on-keyboard" mentality. You can take an idea from a stakeholder and turn it into a working agentic workflow without needing external engineering resources. Business Acumen: Ability to translate complex technical AI patterns into clear business value and ROI for stakeholders. Operational Rigor: Experience managing vendor relationships, forecasting technical costs (tokens), and maintaining system uptime/SLAs. YOU ARE Orchestration: Experienced with LangChain, or similar agentic frameworks. AI Tooling: Prompt Flow, Vector Databases, and API integration. Data & Analytics: Ability to build performance and cost-tracking dashboards (SQL, Tableau, etc.). PERKS & BENEFITS  We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. Mental Health benefits with covered therapy and coaching. 401(k) program to help you invest in your future. Education & learning stipend for personal growth and development. Flexible vacation time to promote a healthy work-life blend. Paid parental leave to support you and your family. Company-wide recharge days each quarter. Work from home stipend to help you succeed in a remote environment. The annual salary hiring range for this position is $148,000 - $225,000 USD.  Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.  We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law. To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

false

JOB DESCRIPTION: The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly—safely, reliably, and fast.   As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, contributing to our modeling and simulation tooling pipeline. You’ll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables automated testing for our XBAT product line, and perform verification and validation of simulation pipelines. You will also conduct system performance analysis to evaluate expected and actual flight and mission performance using simulation tools and publish results for consumption by customers.   What You'll Do Develop models and infrastructure for the integrated simulation pipeline in C++.  Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.  Implement test scenarios and write unit, system, and regression tests.  Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.  Contribute to platform-agnostic simulation tooling to accelerate future development efforts  Perform verification and validation (V&V) analysis activities on model tools.  Conduct system performance analysis and generate reports and visualizations.  Utilize best practices in C++, simulation architecture, and performance engineering.  Required Qualifications BS or MS in Computer Science, Aerospace, Robotics, or related field.  5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.  Strong understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics.  Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.  Ability to debug complex build and runtime environments (CMake, CPM, package management, logging, & profiling tools).  Experience with software testing tools (GTest, etc.)  Experience with model V&V.  Strong collaboration and communication skills across software, hardware, and systems disciplines.  Preferred Qualifications Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.  Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.  Working knowledge of Python for data analysis, test automation, or simulation orchestration.  Familiarity with aircraft and flight physics modeling.  105,000 - 155,000 a year#LI-SM1

false

Opportunity OverviewHandshake is looking for Machine Learning PhDs to support AI research through flexible, hourly contract work. This is not a traditional academic or industry research role. You'll draw on your machine learning expertise to evaluate AI-generated content and provide feedback that helps AI better understand machine learning reasoning, proof construction, and technical problem-solving.This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.Who This Is ForThis is a good fit if you're a current or graduated machine learning PhD with deep expertise in one or more of the following areas:Foundations of machine learningStatistical and probabilistic methodsComputational and optimization methodsWhat You'll DoYou'll use your machine learning expertise to create domain-relevant questions and review AI-generated responses for accuracy, rigor, and relevance to real-world physics research and practice.No prior AI or technical experience is required.QualificationsWe're looking for people who have:A current enrollment in or a completed PhD in machine learning or a closely related fieldDeep expertise in at least one area of machine learning at the doctoral levelStrong written communication skills and attention to detailThe ability to work independently and follow written guidelinesApplication ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earning Work Model and Project DetailsStatus: Independent contractor (not a full-time employee role)Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computerSchedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active projectDuration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become availableWork AuthorizationMust be currently residing in the United States. F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

false

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.The Opportunity Join Arize AI's Engineering team working on OpenInference – the industry-leading open-source standard for AI observability, LLM and agent instrumentation. You'll be at the forefront of defining how organizations instrument, trace, and observe their AI applications across the entire ecosystem, shaping the future of AI development worldwide. This role puts you at the epicenter of the AI landscape, working directly on the OpenInference repository that powers AI observability for thousands of developers worldwide. You'll synthesize requirements from both the vibrant open-source community and real-world enterprise deployments, translating these diverse needs into practical instrumentation capabilities that drive the future of AI innovation. This is NOT a role for everyone – it demands exceptional technical versatility, deep community engagement, and end-to-end ownership from conception to delivery. What You’ll Do Build new LLM and instrumentation libraries for emerging LLM providers and agent frameworks Maintain and enhance existing instrumentation across Python and TypeScript ecosystems, and others (OpenAI, Anthropic, LlamaIndex, CrewAI and many more) Drive improvements to semantic conventions and OpenTelemetry standards that define AI observability Collaborate with the global developer community through GitHub, Slack, and conferences, as well as Arize PMs and solution architects Take complex problems from ideation to completion with full ownership and accountability What We’re Looking For 3-5+ years of software development experience shipping production code  Expert-level proficiency in both Python and TypeScript Community-oriented mindset with genuine passion for collaborative open-source development Deep interest in AI/LLM ecosystem with desire to stay current on emerging technologies Strong analytical skills to distill requirements from diverse sources and stakeholders Bonus Points, But Not Required Experience building SDK clients, instrumentation libraries, or platform APIs Hands-on experience with AI/ML observability or evaluation systems What Makes This Role Unique? You'll have direct impact on the AI ecosystem by building instrumentation that powers the next generation of AI applications across thousands of companies. Working at the intersection of open-source community building and enterprise-scale AI deployments, you'll help define industry standards while staying at the forefront of LLM technologies. The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

false

About Augment Code Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context  Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About the role We’re looking for an Applied AI Engineer to help bring cutting-edge AI capabilities into the hands of developers. This is a hands-on engineering role at the intersection of product, AI, and systems — focused on implementing and integrating LLM-powered features that enhance developer experience and productivity. You’ll collaborate with engineers, researchers, and designers to translate product needs into intuitive, reliable AI-powered experiences. You’ll also play a key role in shaping how AI is used across our stack — from prompt design to system integration — while staying up to date on emerging AI capabilities. Examples of what you could do: Implement and integrate AI functionality into key product features Craft and iterate on prompts to improve LLM reliability and usefulness Build AI-powered flows that feel intuitive and responsive to developers Evaluate and test AI outputs to ensure performance and accuracy Work alongside engineers to deliver robust, production-grade code Stay current with LLM tools, APIs, and best practices You will… Deliver reliable, high-quality AI-powered product experiences Translate product needs into technical AI implementations Tune and test prompts for real-world use cases and developer workflows Collaborate closely with engineers and researchers Contribute across frontend, backend, and integration layers Qualifications: Strong coding skills in one or more of: Python, Go, Node.js, JavaScript, TypeScript, React, or Java Experience with API integrations and service-oriented architectures Familiarity with prompt engineering for LLMs (e.g. OpenAI, Claude, Gemini) Ability to evaluate and optimize AI outputs for reliability and quality Strong problem-solving instincts and attention to detail Collaborative mindset and eagerness to learn Bonus Points: Experience building product features that incorporate LLMs Understanding of best practices for AI reliability and safety Background in frontend development or UX-oriented implementation Familiarity with cloud platforms (especially GCP) Basic understanding of LLM behavior, strengths, and limitations Perks & Benefits We invest in creating an environment where you can do your best work and enjoy showing up. Comprehensive medical, dental, and vision coverage Unlimited paid time off Mental health and family-forming support Commuter benefits, including pre-tax options and a monthly stipend Daily lunch, stocked kitchens, and regular in-office events Thoughtful office setups, plus workspace and tools stipends Onsite gym access and a pet-friendly HQ A collaborative, in-person culture built around connection and momentum   We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$225,000—$300,000 USD

false

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 OverviewAs a Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals.You will design environments and actions for agentic professional work, make model selection decisions, manage context windows, create optimal tools, and develop evals that enable faster iteration loops to unlock new capabilities.We're looking for engineers and researchers who are immersed in the space, driven to ship impactful products, and are experienced in using practical evaluations to drive task completion quality and customer delight.Representative ProjectsSave weeks of effort on high pressure M&A deals by automating information requests and diligence checks across hundreds of thousands of files with retrieval and file editing agents.Dramatically speed up deal turnaround speed by improving the latency and quality of agents on applying a standard legal "playbook" to contracts.Ensure that our clients win their complex, data-hungry litigation cases by optimizing our multi-source retrieval agents.Enable board-ready PowerPoint generation by tuning the harness and libraries for coding agents.What You'll DoPartner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, and ship agents that get the job done.Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development.Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns.Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions.Stay current on new developments in agentic systems and bring those learnings back to the products we build.What You HavePassion for building effective domain-specific agents.Iterative mindset: you develop proof of concepts, make decisions quickly, and ship v0s.Comfortable with when and how to use evaluations to drive quality.Humble and adaptable about code and frameworks. We expect you to drive adoption of new best practices as they develop.3+ years (post-BS/MS) of software engineering experience. We are hiring for this role across Mid, Senior, and Staff levels.Proficiency in Python and experience working with LLM APIs and agent frameworks.Experience with shipping user-facing products, either on the backend or full-stack.Compensation Range$165,000 - $312,000 USDDepending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-BB1Harvey 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

false

About the teamThe AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises. We act as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications.The Codex Deployment Engineering team focuses on enabling organizations to adopt next-generation AI coding tools and intelligent automations throughout their software development lifecycle. We partner directly with engineering teams to integrate Codex into their workflows — from early experimentation and pilot design through enterprise-scale production rollout — ensuring AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments.About the roleWe are seeking an experienced technical leader to manage a team of AI Deployment Engineers responsible for driving successful Codex adoption across strategic customers. In this role, you will lead engineers who work hands-on with customer development teams to design AI-enabled workflows, deploy production-ready solutions, and establish scalable patterns for AI-powered software development.As a manager, you will define how deployment engagements operate at scale — setting technical strategy, coaching engineers, and ensuring consistent execution across customer implementations. You will serve as both a people leader and technical advisor, partnering closely with Sales, Product, Research, and Engineering teams to translate customer needs into deployment best practices and product insights.Success in this role will be measured by production deployments, sustained developer adoption, and the creation of repeatable deployment patterns that accelerate Codex usage across organizations.This role is open in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Lead, hire, and mentor a high-performing team of AI Deployment Engineers supporting Codex customers across strategic accounts.Own the operating model and engagement strategy for Codex deployment efforts, ensuring customers successfully move from pilot to production adoption.Guide teams in designing and implementing AI-enhanced development workflows, automations, and scalable deployment architectures.Act as the senior technical escalation point for complex customer implementations and deployment challenges.Partner with Sales, Product, Research, and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities.Help establish repeatable deployment playbooks, technical patterns, and best practices that enable scaled adoption of AI coding tools.Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders.Synthesize insights from customer deployments and translate them into actionable feedback for internal teams.Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.You’ll thrive in this role if you:Have 8+ years of experience in technical customer-facing roles such as deployment engineering, solutions architecture, technical consulting, or post-sales engineering.Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.Have experience deploying Generative AI, developer platforms, or cloud-based software solutions into production environments.Possess hands-on technical experience with software development systems and programming languages such as Python or JavaScript.Understand modern software development lifecycles and how AI tooling transforms developer productivity and workflows.Are an effective communicator who can translate complex technical and business topics to both engineering teams and executive stakeholders.Thrive in ambiguous, fast-moving environments and enjoy building new operating models and teams from first principles.Demonstrate strong ownership, humility, and a commitment to helping both customers and teammates succeed.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.

false

V7At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate. We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini). The productV7 Go provides finance and teams with a toolkit for deploying and building custom no-code AI agents. We take multi-modal data and deliver verifiable outputs with transparent AI logic to ensure accuracy and compliance.Most AI agents still act like black boxes. They wander off-task, miss critical context, and make decisions you can’t verify. Go Agents are designed differently: predictable, transparent, and auditable at every step.V7 Go supports the latest models, such as GPT, Claude, and Gemini, for the best accuracy and performance.⁠⁠⁠⁠ Watch the V7 Go keynote to see what we’re building.The team you’ll be joining and the impact you’ll haveYou'll join our go-to-market team as our second Solutions Engineer in New York (the team is six people), sitting at the intersection of sales and product in a company processing tens of millions of documents for customers across finance, insurance, and real estate.V7 Go 4x-ed revenue last year, with 160%+ upsell into accounts. You'll help accelerate that trajectory by making sure every customer gets real value.We run a lean, high-trust team where you'll work directly with AEs, engineers, and product to close complex deals and turn new logos into long-term champions.Your work directly shapes how enterprises experience agentic AI for the first time and how quickly they believe in it.What you’ll be doing from day oneRun technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast.Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more.Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale.Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.Who you areYou are a prototyper at heart with a gift of talking to customers, building relationships, and solving technical problems with repeatability.You have experience in delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, solutions design/architecture, integrating different cloud providers, prompt engineering, and/or measuring AI accuracy.You love coding with Python.You can develop and articulate an AI solution vision to technical and business stakeholders, with customers and partners to match the value proposition to business needs.V7 champions equality and inclusion because diverse teams build better products. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.

false

About CartesiaOur mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.About The RoleData is the lifeblood of our models, and we are looking for a TLM, Data Infrastructure to own the strategy and execution for all data at Cartesia. This is a critical leadership role, where you will be responsible for building and managing the datasets that power our cutting-edge research. You will lead a talented team of data engineers and specialists to acquire, process, and curate massive multimodal datasets. Your vision will directly shape the capabilities and quality of our foundational models.What you’ll doDefine Cartesia’s overall multi-modal data strategy across pre-training and post-training, including human, synthetic, and web-scale data sources.Lead, manage, and mentor a team.Design and oversee the construction of robust, scalable data pipelines for text, audio, and video.Establish and enforce rigorous standards for data quality across the organization.Deeply understand how data affects model capability and proactively identify and source novel datasets.Manage relationships and budgets with external data vendors and partners.What we’re looking forTechnical expertise in large-scale data engineering.Familiarity with building datasets for and evaluating generative models.Leadership skills to grow and guide a high-impact data team.Our Culture🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.

false

As a Software Engineer and member of the Platform Stability team, you will help build, fine-tune, and maintain a novel AI-powered tool for diagnosing technical issues and identifying root causes. You will collaborate cross-functionally to gather requirements, develop AI/ML and analytical models, and drive data-driven insights — all as part of a high-performing team.In this role, you will: Design and implement agentic AI systems with structured interfaces, reasoning loops, and robust error handling Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure Develop evaluation and scoring systems to measure and continuously improve model output quality Integrate the platform with internal and external services, including ticketing, messaging, storage, and observability Collaborate with cross-functional teams to translate business requirements into technical AI solutions Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance Qualifications BS in relevant engineering discipline and 4+ years of relevant work experience SW development, Strong Python with applications in AL/ML Familiarity with AI agents and their applications, including prompt design, tool calling, context management, and evaluation Experience or strong interest in Data Science and Engineering Experience or strong interest in creating Analytical or AI/ML-based models for real-world problems Strong problem-solving skills, especially in simplifying and modelling real-world problems Bonus Qualifications Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities Experience integrating AI capabilities into applications or eagerness to learn application development Full-stack development experience with both backend and frontend technologies 184,000 - 231,000 a yearBase Salary Range   There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.   Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

false

Senior Machine Learning Scientist🌍 UK or Poland (Remote or Hybrid, it’s up to you!)💰 Dependent on experience📈 Be part of our success with the opportunity to join our company equity schemeOur Perks  ❤️ Monthly Health & Wellness budget, increasing with length of service📚 Annual Learning and Development budget, increasing with length of service🤸🏽‍♂️ Flexible working in a choice-first environment - we trust the way you want to work!🖥️ Work From Home Allowance🌴 25 Holiday Days + your local bank holidays, plus an extra day for every year of service🎂 Your birthday off🍼 Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave⚕️ Optional Healthcare Plan🛟 Life & income protection (Location dependent)🤝 Employee Assistance Programme (UK Only)📈 The opportunity to share in the company’s success through options🌆 If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace 🦸‍♀️ The Role 🦸‍♀️Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next.We're hiring a Senior Machine Learning Scientist to join the team and help build and ship the next generation of that stack. 👉 What you'll be doing:Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all.This means you will:Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire.Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation.Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons.Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods.Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring.Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking.Mentor team members, review code and research, and bring relevant advances from the literature into the product.🧰 What you’ll need: A deep working knowledge of transformer architectures.Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRAExtensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search.Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar toolsA solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution.Practical experience building with GenAI and agentic patterns.Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!).Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology.High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward.➕It would be a bonus if you:MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field.Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) 🔎 Our Hiring ProcessLet’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step.Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience.Show us how you work – you'll complete a short take home assignmentGet to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams.How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. 💖 Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach.We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust.We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us.We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively.We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly.We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! 🌈 Diversity & Inclusion 🌈We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team.  We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!   #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #deeplearning #LLM #ML #data #AI #PyTorch