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About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the New Grad Program Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. The Schedule: Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer. Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include: Platform: AI infrastructure and Engineering Systems. Core Product: Audit, Billing, and Payments logic. Commercial: Revenue Activation and Forward Deployed Engineering. Special Projects: Partnering directly with the CEO/CTO and other execs Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion. About You We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here: You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding. You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision. You are drawn to hard problems. You want problems that are more than one prompt away from a solution. You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..  Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes. Qualifications Graduating with a BS or higher in STEM fields; available to start full-time in 2026. Working in person in the SF or Chicago office 4 days a week. Proficiency with modern techstack. You can deliver a modern web app in hours not in days.. Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact. AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation $125,000 annual base pay for Chicago Benefits & Perks This role is eligible for Loop’s health insurance, dental insurance, vision insurance, 401(k) plan, paid time off, paid holidays, parental leave, and other company-sponsored benefits. #LI-LOOP

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About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the New Grad Program Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. The Schedule: Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer. Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include: Platform: AI infrastructure and Engineering Systems. Core Product: Audit, Billing, and Payments logic. Commercial: Revenue Activation and Forward Deployed Engineering. Special Projects: Partnering directly with the CEO/CTO and other execs Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion. About You We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here: You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding. You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision. You are drawn to hard problems. You want problems that are more than one prompt away from a solution. You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..  Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes. Qualifications Graduating with a BS or higher in STEM fields; available to start full-time in 2026. Working in person in the SF or Chicago office 4 days a week. Proficiency with modern techstack. You can deliver a modern web app in hours not in days.. Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact. AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation $125,000 annual base pay for Chicago Benefits & Perks This role is eligible for Loop’s health insurance, dental insurance, vision insurance, 401(k) plan, paid time off, paid holidays, parental leave, and other company-sponsored benefits. #LI-LOOP

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About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the New Grad Program Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. The Schedule: Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer. Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include: Platform: AI infrastructure and Engineering Systems. Core Product: Audit, Billing, and Payments logic. Commercial: Revenue Activation and Forward Deployed Engineering. Special Projects: Partnering directly with the CEO/CTO and other execs Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion. About You We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here: You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding. You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision. You are drawn to hard problems. You want problems that are more than one prompt away from a solution. You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..  Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes. Qualifications Graduating with a BS or higher in STEM fields; available to start full-time in 2026. Working in person in the SF or Chicago office 4 days a week. Proficiency with modern techstack. You can deliver a modern web app in hours not in days.. Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact. AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation $125,000 annual base pay for Chicago Benefits & Perks This role is eligible for Loop’s health insurance, dental insurance, vision insurance, 401(k) plan, paid time off, paid holidays, parental leave, and other company-sponsored benefits. #LI-LOOP

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About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the New Grad Program Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. The Schedule: Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer. Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include: Platform: AI infrastructure and Engineering Systems. Core Product: Audit, Billing, and Payments logic. Commercial: Revenue Activation and Forward Deployed Engineering. Special Projects: Partnering directly with the CEO/CTO and other execs Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion. About You We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here: You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding. You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision. You are drawn to hard problems. You want problems that are more than one prompt away from a solution. You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..  Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes. Qualifications Graduating with a BS or higher in STEM fields; available to start full-time in 2026. Working in person in the SF or Chicago office 4 days a week. Proficiency with modern techstack. You can deliver a modern web app in hours not in days.. Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact. AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation $125,000 annual base pay for Chicago Benefits & Perks This role is eligible for Loop’s health insurance, dental insurance, vision insurance, 401(k) plan, paid time off, paid holidays, parental leave, and other company-sponsored benefits. #LI-LOOP

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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Applied AI Engineer at Vanta, you will play a crucial role in shaping Vanta’s AI offerings, setting technical strategy, and leading projects that leverage AI to deliver smarter, faster outcomes for our customers. You'll be part of a team integrating AI into the Vanta product, working alongside a multidisciplinary group of product engineers, machine learning engineers, product managers, designers, and security and compliance experts to implement, scale, and maintain AI-enabled product experiences. In this role, you’ll build products that enable Vanta’s customers to leverage AI to accelerate their journey towards compliance, managing risk, and earning trust.Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an engineer working on Applied AI at Vanta:Work cross-functionally to design and implement AI-powered features to deliver customer value and integrate LLMs with Vanta’s existing products and systems. You’ll work with other product engineers across Vanta to understand how AI systems can accelerate product adoption at VantaInstrument evaluations, guardrails, and monitoring, and review customer usage to continually improve qualityCollaborate with AI Platform engineers shaping foundational AI systems and tooling that accelerate product teamsMake pragmatic tradeoffs that consider business priorities, user experience, and a sustainable technical foundationMentor engineers, champion good technical and product instincts, and model a collaborative, high-ownership engineering cultureHow to be successful in this role:At least 7 years of industry experience as a software engineerYou’ve shipped LLM-backed products and have experience with prompting, RAG, and/or agent frameworksYou have experience designing, building, and scaling full-stack applications, including backend systems, APIs, and frontend interfaces. You have familiarity with TypeScript, React, and Node.js, or a willingness to learn!You have experience improving AI systems, creating eval sets, and driving quality hill-climbingYou have experience mentoring other engineers and collaborating with product and designYou have worked at rapidly scaling startups and large companies, especially with environments that prioritize a bias for actionYou are action-driven, willing to roll up your sleeves and engage directly with users. You aren’t afraid to put on your product hat. While you bring strong opinions, you prioritize building a platform that meets users where they areWhat you can expect as a Vanta'n:Industry-competitive salary and equity100% covered medical, dental, and vision benefits with dependents coveragePension contribution16 weeks paid Parental Leave for all new parentsHealth & wellness stipendRemote workspace, internet, and cellphone stipendFlexible work hours and location21 days of Vacation Time and 80 hours of Sick Leave11 company-paid holidaysVirtual team building activities, lunch and learns, and other company-wide events!Offices in SF, NYC, London, Dublin, Tel Aviv, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.Referral InstructionsIf you are being referred for the role, please contact that person to apply on your behalf.   

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Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As a backend engineer, you'd play a critical role in our search architecture. We're pretty flexible on what projects people work on based on their skills and interests.Desired ExperienceYou have experience writing and maintaining high throughput, low latency systemsYou can build data processing pipelines that deal with millions of documents per dayYou’re comfortable optimizing a system to an exceptional degreeYou care about the problem of finding high quality information and recognize how important this is for the worldPlus: Experience in some high performance language (C++, Rust, etc.)Example ProjectsRecreate Google-level keyword search over 10 billion pages in 1 monthBuild a state-of-the-art crawling system that works optimally for any websiteBuild a custom vector database that runs over a billion vectors in under 100msLogisticsLocation: This is an in-person opportunity in Singapore.Visas: We’re happy to sponsor international candidates! While we cannot guarantee your visa, we have historically been successful in sponsoring candidates from all over the world. If you receive an offer, our team will work hard to get you a visa.Benefits: We offer premium healthcare benefits (medical, dental, vision), fertility benefits, 16 weeks of fully paid parental leave for all new parents, and a monthly wellness stipend to all of our employees.

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Generative AI Inference Engineer   About the role:  We are seeking passionate Machine Learning Engineers to join our Inference team, focusing on the creative applications of generative AI models. The ideal candidate will have substantial experience developing and running inference for multi-modal models. A deep understanding of diffusion model architectures and familiarity with workflow tools like ComfyUI are a big plus. You will be expected to leverage and push the boundaries of state-of-the-art inference optimization techniques for multi-modal generative models. This role offers the opportunity to work alongside top researchers and engineers, utilizing cutting-edge high-performance computing resources to make a significant impact in the rapidly evolving field of generative AI. Responsibilities:   Lead efforts to drive the design, development of customer-facing multi modal ML inference systems. Work with the Platform and Inference teams on building inference systems for the next generation of models, where you will work on areas such as optimization, model tuning and deployment. Partner with leading cloud providers to deliver hosted Stability AI inference solutions. Be a strategic thought partner for leaders across the organization on driving business impact through machine learning Be part of the team to bring new Stability models and pipelines into existence Prototype and productionize inference platform improvements and new features  Qualifications: 7+ years working on productionizing machine learning systems, including inference pipeline development Expert level knowledge on writing and running python services at scale 5+ years working on python scientific stack, pyTorch and at least one high-performance inference framework (e.g. Triton and TensorRT) Deep understanding of Diffusion Architecture Experience profiling and optimizing deep neural networks on Nvidia GPUs, using profiling tools such as NVIDIA Nsight Experience with python-based image manipulation/encoding/decoding frameworks, such as OpenCV Experience deploying to cloud orchestration systems such as Kubernetes and cloud providers such as AWS, GCP, and Azure Experience with Docker Ability to rapidly prototype solutions and iterate on them with tight product deadlines Strong communication, collaboration, and documentation skills Experience with the open-source ML ecosystem (HuggingFace, W&B, etc.)   Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About the TeamThe Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve.We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste.Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use.About the RoleAs a member of this API & power-users team, you will improve the capabilities, reliability, and product fit of OpenAI’s agentic models for power users and API developers. You might design evals from real developer workflows, build training environments around production-like tool use, turn qualitative model failures into training data, evals, or post-training interventions, or drive a behavior improvement from discovery through post-training, integration, and launch.This role is intentionally broad. The strongest candidates are comfortable turning ambiguous model behavior problems into concrete progress, whether that means improving tool use, planning, instruction following, recovery from mistakes, or how models behave in API-based workflows. You should be excited to work across research, engineering, data, evals, and product to make models better at acting in real workflows.You will work closely with researchers, engineers, API/product teams, Codex, infrastructure, and safety/alignment partners to decide which behaviors matter, how to measure them, how to train them, and when they are ready for major model runs. This is a high-agency role for people who want their work to show up directly in frontier models used by expert users and developers.In this role, you mightDesign and run experiments that improve model behavior in API and power-user workflows: function calling, tool use, coding, planning, long-horizon execution, factuality, instruction following, error recovery, and calibrated reasoning.Build evals, graders, and environments from real developer and power-user workflows, then turn observed failures into training data, model-behavior hypotheses, and shipped improvements.Partner with API and power-users to identify high-leverage behavior gaps and convert product signals into post-training interventions.Improve how models behave when composed into systems: using tools reliably, respecting developer intent, handling partial failures, asking for clarification when appropriate, and maintaining coherence across multi-step tasks.Own end-to-end model behavior projects, from qualitative failure analysis through data generation, training experiments, eval design, integration into major runs, and launch readiness.Develop feedback loops that use power-user traces, API usage patterns, and production-like environments to discover the next frontier of agentic model failures and gaps.Help decide which agentic capabilities, behavioral fixes, and partner-team integrations are ready for inclusion in major model runs.Debug hard failures in shipped or near-shipped models by moving between traces, evals, training data, model outputs, and product context.Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.You might thrive in this role if youHave strong technical fundamentals in ML, software engineering, systems, statistics, or applied research, and can quickly learn across unfamiliar parts of the stack.Have hands-on experience with LLMs, post-training, RL/RLHF/RLAIF, evals, graders, synthetic data, coding agents, tool-using agents, API products, or production ML systems.Have strong taste for model behavior: you can look at a transcript, trace, eval failure, or API interaction and form concrete hypotheses about what the model needs to learn.Are excited by ambiguous capability problems where the signal is noisy, the failures are qualitative, and the solution may involve data, training, evals, product changes, or all of the above.Deeply care about developer and expert-user experience, especially how models behave when embedded in real user workflows, API products, and agent harnesses..Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group.Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous.Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.About The Role As a Staff/Principal-level Technical Lead, you will be the definitive architectural mind and engineering engine behind our most critical customers' success. Operating in a strategic "two-in-a-box" partnership with a Project Lead, you will drive the technical execution of enterprise engagements. In the Tech Lead capacity, you will own and independently manage multiple concurrent implementations, ensuring our AI-enabled solutions are integrated seamlessly, securely, and scalably into our clients' complex ecosystems. This role blends deep technical expertise with elite forward-deployed engineering, making you the primary technical authority in helping enterprise customers transform their infrastructure and workflows with AI. What You’ll Do Drive the end-to-end technical execution of multiple concurrent enterprise engagements, in close partnership with the Project Lead, from technical discovery to production deployment. Architect and implement secure, highly scalable integrations between our AI platform and the client’s existing data pipelines, APIs, and infrastructure. Lead authoritative technical discovery sessions, architecture workshops, and data readiness assessments with customer IT, data, and engineering leadership teams. Build and customize robust AI-enabled solutions, scripts, and workflows that directly address the complex business problems identified through the sales process. Serve as the primary technical liaison—and escalation point—between customer engineering teams and our internal product, engineering, and data science teams to rapidly unblock deployments Ensure all deployed solutions across your portfolio meet rigorous, enterprise-grade standards for performance, security, data privacy, and scalability. Debug complex integration issues, proactively manage technical risks across overlapping projects, and provide hands-on troubleshooting during the implementation phase. Contribute heavily to our internal codebase by documenting technical blueprints, developing reusable integration components, and providing critical product feedback based on real-world edge cases. What We Need Experience: 8+ years in software engineering, data engineering, or technical architecture (Staff/Principal Level): You have a proven track record of architecting, building, and deploying complex technical solutions at scale, ideally in SaaS, AI/ML, or cloud-native environments. Elite forward-deployed or client-facing engineering experience: You are highly comfortable writing production-grade code and designing distributed systems while actively engaging with, and leading, external enterprise clients. You expertly know how to navigate the intricacies and complexities of sprawling enterprise IT environments. Proven experience delivering concurrent technical integrations: You have a rock-solid foundation in successfully taking a portfolio of projects from conceptual architecture diagrams to live, scalable production systems on time. Skills: Deep technical fluency in AI/ML and Data Infrastructure: You possess highly advanced programming skills (e.g., Python, TypeScript) and a deep, authoritative understanding of cloud architectures (AWS, GCP, or Azure), REST APIs, database management (SQL/NoSQL), and modern data pipelines. Applied AI/ML Knowledge: You understand intimately how to work with Large Language Models (LLMs), embeddings, vector databases, and machine learning deployment principles in enterprise settings. Executive-Level Technical Communication: While the Project Lead handles business translation, you must excel at explaining, defending, and aligning complex technical architectures, security postures, and integration requirements to client engineers, CISOs, and IT Directors. Systems Thinking and Debugging: You have an elite knack for identifying technical roadblocks early, designing robust architectures that anticipate massive scale, and systematically debugging deeply entrenched issues across distributed systems. Mindset and Approach: Symbiotic Collaborator: You thrive in a "two-in-a-box" model. You rely on your Project Lead to manage stakeholders and scope, while they rely on you to guarantee the technical reality of the solution. You communicate technical risks to them proactively and consistently. Builder and Problem Solver: You are intensely hands-on. You don't just design solutions on a whiteboard ; you are eager to dive deep into the data, write complex integration code, and make the platform work seamlessly for the customer. Quality and Security Focused: You treat customer data and system integrity with the highest possible level of care, strictly ensuring that every deployment adheres to enterprise-grade security and compliance standards. *Travel: Ability to travel roughly 25% of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients What’s In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. For this position, the annual salary ranges by location are: Tier 1:  $209,000 - $300,000 Tier 2:  $191,000 - $279,000 Tier 3:  $171,000 - $251,000 *Offers will also include bonus + equity You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557 Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us. 

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Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems. The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈‍⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!   We're a diverse team of 200+ brilliant minds from over 31 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together! Building a fault-tolerant quantum computer by 2030 requires every support function to operate at the same level of ambition as the lab. Reporting to the Chief of Staff, you will be embedded across Finance, Legal, HR, Operations, and Business to understand how each team works, identify which recurring tasks can be encoded as a Claude skill, and build them. The output is concrete: a growing library of production-ready Claude skills, each one owned and used by the team it was built for. Alice & Bob grew from 5 to 250+ people in six years and is one of the fastest-growing deep-tech startups in Paris. AI integration is not a side project here it is a company-wide strategic priority, and this role sits at the center of it, with direct visibility from leadership. Responsabilities: Conduct structured process interviews with leads across Finance, Legal, HR, Operations, and Business / Revenue to map recurring, high-cognitive-load tasks Identify which tasks are suitable for Claude skill encoding — well-defined inputs, predictable structure, clear success criteria Write, test, and iterate Claude skills: system prompts, instructions, behavioral rules, few-shot examples, output formats, and edge case handling Validate each skill directly with end users until it performs reliably for non-technical team members Maintain a documented skill library with scope, usage guide, known limitations, and update log for each skill Build and share a reusable methodology for skill writing that other teams can apply independently after the internship Requirements: Final-year student (M2 or gap year) from a Tier 1 business or engineering school Strong working knowledge of Claude and prompt engineering — you understand how LLMs reason, where they fail, and how instruction design affects output quality Ability to write precise, structured specifications: unambiguous instructions, well-chosen examples, explicit edge case handling Analytical approach to process decomposition — able to turn a vague workflow description into a defined task with clear inputs and outputs Fluent English — skills will be written and tested  French is a plus Comfortable operating with autonomy; the role requires self-direction across five departments simultaneously Prior experience building Claude skills, custom GPT instructions, or equivalent structured prompt systems that were actually used by others Exposure to one or more of the target functions: Finance, Legal, HR, Operations, or B2B Sales — enough to recognize where the real friction is Genuine interest in quantum computing and the deep-tech space Benefits: - 1 day off per month - Half of transportation cost coverage (as per French law) - Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen       Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.   You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!   We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.

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We are looking for the bestAbout Us42dot은 소프트웨어와 AI로 모빌리티 문제를 해결하기 위해 노력하는 모빌리티 AI 기업입니다. 현대자동차그룹 글로벌 소프트웨어 센터로서, 42dot은 소프트웨어 정의 차량 개발을 선도하며 미래 모빌리티를 개척하고 있습니다.우리는 안전을 최우선으로 하고 사용자 중심적인 소프트웨어 정의 차량 기술을 개발하여, 스마트폰처럼 지속적인 업데이트를 통해 최신 성능을 제공합니다. 소프트웨어와 AI 기술을 발전시켜, 42dot은 모든 것이 연결되고 자율적으로 움직이는 자율 관리형 도시 교통 운영 체제를 통해 새로운 세상을 그려 나가고 있습니다.ResponsibilitiesLLM 및 Flow Matching 기반 최신 TTS 모델 연구 및 개발Emotion controllable TTS 모델 개발 및 고도화최신 생성 모델 기반의 음성 합성 데이터 구축 및 품질 개선다국어 / 다화자 TTS 모델 개발 및 서비스 적용Server / On-device 환경을 위한 TTS 모델 최적화실시간(streaming) 음성 합성 시스템 개발 및 latency 최적화음성 생성 품질 향상을 위한 inference 및 training pipeline 개선QualificationsTTS 유관 경력 3년 이상음성 합성(TTS)에 대한 기본 개념/지식을 보유하신 분다국어(multilingual) 및 다화자(multi-speaker) TTS 모델 개발 경험을 보유하신 분모델 경량화 및 최적화 경험을 보유하신 분 (연산 최적화, Quantization, Memory / Latency 최적화)On-device 환경에서의 모델 최적화 경험을 보유하신 분TensorRT, ONNX 기반 모델 최적화 경험을 보유하신 분Linux 환경에서의 개발 및 디버깅 경험을 보유하신 분문제 해결을 위한 프로그래밍 능력을 보유하신 분 (Python/C++/shell 등)오픈소스 기반 딥러닝 프레임워크 활용 능력을 보유하신 분 (PyTorch 등)Preferred Qualifications다국어 TTS 개발 및 서비스 경험을 보유하신 분Multilingual / Cross-lingual TTSInstruction-based Text LLM 기반 음성 생성 모델 개발 경험을 보유하신 분고품질 음성 합성을 위한 데이터 구축 및 학습 파이프라인 개발 경험을 보유하신 분Neural Audio Codec 관련 연구 및 개발 경험을 보유하신 분Streaming TTS 시스템 개발 경험을 보유하신 분최신 음성 생성 모델(Flow Matching, Diffusion, Codec LM 등)에 대한 연구 경험을 보유하신 분음성합성/기계학습/인공지능 분야 상위급 학회 및 저널 논문 저자상기 관련 분야 석/박사 학위 보유 및 수료자Interview Process서류전형 - 화상면접 (1시간 내외) - 대면 혹은 화상면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.3개월의 수습기간이 적용될 수 있습니다.※ 지원 전 아래 내용을 꼭 확인해 주세요.42dot이 일하는 방식, 42dot Way 보러가기 →42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 →

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About the TeamThe AI Deployment Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI.The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership. About the RoleWe are looking for an AI Deployment Engineering Manager, Startups to lead and scale the Startups AI Deployment Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI.This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams.In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus. In This Role, You WillCraft and continuously refine the strategic vision and operating model for the Startups AI Deployment Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers.Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies.Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment.Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth.Represent the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases.Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets that help the broader team move faster.Serve as a senior technical escalation point for priority startup customers, including founder-, CTO-, and technical executive-level conversations.Balance urgent customer needs with OpenAI’s broader product and platform priorities, especially when startups request niche features, bespoke support, or accelerated roadmap changes.Coach AI Deployment Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership.Partner across Sales, Product, Engineering, Research, and other GTM teams to improve how OpenAI supports startups from early adoption through scaled production usage.You Might Thrive in This Role If YouHave proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution.Have a strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments.Bring strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations.Have experience creating scalable operating models, not just managing one-off customer escalations.Are comfortable working directly with founders, CTOs, technical executives, and highly technical ICs.Demonstrate strong judgment about when to go deep for a strategic customer versus when to build repeatable mechanisms for the broader segment.Can translate complex technical and product considerations into clear decisions, practical guidance, and customer-facing recommendations.Operate with speed, iteration, and pragmatic customer impact without sacrificing quality, safety, or OpenAI’s long-term platform strategy.Are personally committed to fostering the safe and beneficial development of AI.Success in This Role May Look LikeIncreased startup account usage, including tokens, requests, and production workloads.A strong cadence of successful customer sprints and production-oriented technical engagements.High-quality customer stories, founder and CTO satisfaction, and referenceable startup wins.Creation of repeatable startup deployment patterns, starter packs, templates, and reference architectures.Strong Product and Research feedback loops informed by startup customer needs and emerging use cases.A healthy, high-performing team with strong prioritization, clear operating mechanisms, and the ability to scale coverage across a high-demand segment.    About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in the Digital Native segment, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the roleWe are seeking a leader to ensure the technical success of our most strategic technology and software customers in the Americas. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology.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:Own the strategy and operating model of the AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.You’ll thrive in this role if you:Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.Have 2+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Have industry experience in programming languages like Python or Javascript.Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers 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.

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About the TeamOur Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.About the RoleWe're seeking talented Robotics Software Engineers to expand our robotics data collection and evaluation program. This highly technical role involves designing, implementing, and optimizing software solutions across diverse robotics hardware. You'll work closely and collaboratively with multidisciplinary teams; including software, hardware, research, and operations - to drive advancements in our robotic systems.This role is based in San Francisco, CA, and requires in-person 4 days a week.In this role, you will:Help develop and grow our data collection labs, owning the entire integration lifecycle, from identifying and sourcing new hardware to collaborating with mechanical and electrical engineers on setup, software integration, and operational deployment.Develop innovative robot control interfaces suited to a variety of morphologies, environments, and tasks.Collaborate closely with research and engineering teams to develop automation tools and machinery that facilitate the evaluation of advanced robotic policies.Lead the design and implementation of data collection, visualization, and quality control processes.You might thrive in this role if you: Have 5+ years of professional software engineering experience developing and shipping production-quality systems in robotics or hardware-integrated environments.Have extensive experience integrating and deploying industrial automation systems, off-the-shelf robotics platforms, or custom hardware into production environments.Bring hands-on experience delivering production-quality software within collaborative, cross-functional engineering teams.Have strong proficiency in Rust or C++.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Software Applications Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development. What you'll do: Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit. Develop AI & Autonomy applications using Hivemind for unmanned platforms across air/sea/land/space. Deploy Hivemind AI infrastructure at customer sites. Provide technical training to customers for their autonomy development efforts. Assist customers in integrating Hivemind autonomy to their vehicles/platforms. Help customers debug software/API integration issues. Collaborate with the product and engineering teams to address customer feedback and improve products. Develop and maintain technical documentation and training materials Assist the sales team in answering complex technical queries from customers. Travel to and stay at customer sites as required (~30% travel).  Examples of Projects You will Work On:  Autonomous teaming drones. Teaming between helicopters and drones. Autonomy on Robodogs. AI on Fighter Jets… and more that we aren’t allowed to publicly share! Required qualifications: Bachelor’s degree in Engineering, Computer Science, or a related field.  7+ years of experience of industry experience 3+ years of experience in an integration/applications engineering role  3+ years of experience working in a startup environment.  Strong technical background in software engineering.  Strong proficiency in writing modern C++ code.  Intermediate proficiency in writing Python code.  Excellent problem-solving and analytical skills.  Strong communication and interpersonal skills.  Preferred qualifications: Experience in the defense aviation or robotics industry.  Experience building and running a small enterprise software applications/solutions engineering team.  #LI-LD2 #LD Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Senior Staff Software Engineer, Autonomy will function as a hands on technical lead / subject matter expert and collaborate with Shield AI teammates / customers to build edge-AI and autonomy software for platforms across sea, air, and space. This role involves working closely with customers to understand their requirements, writing code, developing new capabilities and ensuring successful software/hardware integration, and mentoring teammates.What you'll do: Examples of Projects You will Work On:  Autonomous teaming drones. Teaming between helicopters and drones. Autonomy on Robodogs. AI Pilots for Fighter Jets and more! Learn Hivemind: Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit. Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision. High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments. Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios. Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior. Hardware Software Integration: Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms. Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions. Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development. R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission. Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback. Handover / Training: Provide software handover and training to customers for their autonomy development efforts. Documentation: Develop and maintain technical documentation for customer as well as internal use. Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Travel to and stay at customer sites as required for deployment / training / flight testing etc. (~30% travel). Required qualifications: Bachelor’s and Masters degree in Aerospace, AI, Computer Science, Robotics or a related engineering field.  12+ years of experience of industry experience Ability to travel and stay deployed at customer sites across India/Asia. 3+ years of experience hands on writing software for autonomy/robotics applications. 2+ years of experience working in a startup environment.  Strong technical background in software engineering.  Strong proficiency in writing modern C++ code.  Intermediate proficiency in writing Python code.  Excellent problem-solving and analytical skills.  Strong communication and interpersonal skills.  Ability converse fluently in Hindi and English. Preferred qualifications: Experience in the defense aviation or robotics industry.   Ability to travel to USA for up to 3 months at a time for training. #LI-LD2 #LE Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Participate in on-call rotation (Pagerduty) to respond to production incidents Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI's infrastructure Requirements 5+ years of professional AI Infra or related experience Bachelor's degree in Computer Science or a related field or equivalent work experience Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the team Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time. About the roleAs an Associate, you’ll be part of a close-knit team - scoping, building and delivering impactful AI projects for our clients in the industry. We’ll look to you to build trusted client relationships, analyse requirements and feedback, stay on top of workflows and help to ensure our bespoke AI tools are optimised for real-world operations. This is an exciting, new role for an individual motivated to build their knowledge of AI transformation in the Public Services sector. What you'll be doingManaging individual work streams to support the successful delivery and implementation of bespoke AI solutionsWorking side-by-side with Government stakeholders to understand critical mission challenges and user needsConducting open-source analysis to support the development of cutting-edge AI toolsTranslating complex operational requirements into clear user stories for delivery and engineering teams.Designing and testing workflows that support user-centric decision-making in high-stakes environmentsCollaborating closely with technical teams to ensure projects run smoothly and solutions meet customer needsContributing to internal thought leadership, strategy, and capability development across the teamWho we're looking forYou demonstrate analytical thinking, can clearly communicate ideas, and synthesise complex informationYou have some experience working on AI/data intensive projects in the Public Services sectorYou have external client-facing experience and have built trusted relationships which have contributed to the overall success of projects/productsYou’ve worked with technical teamsYou understand Agile and related methodologies and the basis of iterative development and continuous deliveryYou are thoughtful and proactive in ambiguous situations, with examples of when you’ve taken initiative and owned finding solutions to challengesYou’re excited and knowledgeable about the possibilities for innovation in Government technology Our interview processTalent Team Screen (30 mins)Introduction Interview (60 mins)Case Study Interview (60 mins)Interview with Business Unit Director (30 mins)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid WorkingIf you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.