125 jobs in Scale AI

Scale AI is seeking an Engineering Manager for the Public Sector to lead a team of engineers delivering backend systems, distributed platforms, and ML tooling for federal customers. You will split time between technical planning and people management while ensuring security and performance requirements are met, and you will commute to the office three times per week.

You will recruit, mentor, and guide a 6–8 engineer team, collaborate cross‑functionally with product, security, and customer

Scale AI is expanding its Agent Oversight team, building the production-grade platform to observe, evaluate, and improve agentic systems at scale. You’ll own end-to-end platform components, from data pipelines to evaluation loops, while maintaining rigorous engineering standards.

You’ll work closely with ML engineers, product teams, and customers to translate deployment needs into reliable, scalable tooling and APIs.

• Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases
• We build the infrastructure and tooling that power Agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand
• We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like
• As a Software Engineer on Agent Oversight, you will build the platform infrastructure that lets our production agents be observed, evaluated, and improved at scale
• This includes building observability tooling, evaluation harnesses, and the pipelines that connect them to improvement loops
• Whether building foundational infrastructure or partnering closely with ML engineers on production workflows, you will own your systems end-to-end while maintaining rigorous technical standards
• Design and build core platform capabilities for deploying, monitoring, and evaluating agentic applications in production
• Build reliable APIs and data pipelines that capture agent telemetry, evaluation signals, and performance metrics at scale
• Work alongside ML engineers where platform work intersects with evaluation or improvement systems — bringing enough ML fluency to reason about model behavior, evaluation quality, and improvement loops while owning the software systems that make those workflows reliable
• Own the reliability, scalability, and observability of platform components serving multiple concurrent enterprise and government customers
• Work cross-functionally with product, forward deployed engineering, and customers to translate real-world deployment requirements into platform features
• Build features end-to-end: system design, implementation, debugging, and testing
• Participate in high-velocity experimentation to validate platform capabilities against real customer usage

• Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
• Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
• Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
• Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

Track record of taking ownership of features or components end-to-end — from design through production — within a larger platform or systemGives direct, substantive feedback on designs and code, and takes it the same way — and mentors others as they growStrong problem-solving skills and the ability to work independently or as part of a tight-knit, cross-functional teamComfortable operating in an ambiguous, fast-changing domain where tooling and best practices are still being definedWorking knowledge of how LLM or ML systems behave in production: evaluation signals, failure modes, prompt/tool-calling workflows, experiment results, data quality issues, and the tradeoffs between offline evals and live customer behaviorExperience building infrastructure or platforms that other engineering teams build on top of (internal platform, developer tools, or similar)4+ years of professional software engineering experience, with strong fundamentals in backend/distributed systems, APIs, and data pipeline designExperience partnering closely with ML engineers or applied researchers to turn prototypes, eval loops, or model-improvement workflows into reliable platform capabilities, without needing to own model training, modeling strategy, or research directionHands-on experience building production software for ML/LLM-powered products or platforms, such as evaluation systems, observability/monitoring, experimentation infrastructure, agent runtimes, model-serving-adjacent services, or telemetry/data pipelinesExcited to work directly with ML engineers and customer-facing teams, including challenging assumptions in designs and metrics when platform behavior, model behavior, and customer needs intersectDeep experience building or maintaining observability, monitoring, or evaluation systems for ML/LLM-powered products in productionFamiliarity with agent architectures — tool use, planning, multi-agent orchestrationExposure to MLOps, feature stores, model serving, or experiment infrastructureExperience working in regulated or enterprise contextsExperience reviewing others’ technical designs or mentoring engineers at a senior/staff level

Engagement Manager (Computer Vision), Public Sector

Washington, DC

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade computer vision solutions and delivering them into operational use cases that matter.

We’re hiring an Engagement Manager (EM) to lead and coordinate delivery of computer vision workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a customer account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.

• Manage customer relationships from the executive to the end user
• Work alongside customers to scope computer vision use cases that Scale’s engineering team will build and you will ultimately refine
• Lead or support a cross‑functional project team to deliver on and exceed the customer’s AI/ML objectives
• Lead with a “whatever‑it‑takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
• Oversee onboarding and successful implementation of customer accounts
• Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain

• Technical background (education or professional experience with computer science, economics, statistics, engineering)
• Proven track record in B2B client‑facing roles and expanding client relationships
• Prior experience owning the technical implementation of solutions to the government

• Active TS/SCI clearance
• 3+ years of work experience succeeding in stakeholder management or a customer‑facing role delivering enterprise‑scale applications / solutions
• Deep understanding of ML operations process
• Track record of structured, analytics‑driven problem solving
• Excellent verbal and written communication skills
• Willingness to be onsite with customers up to 4 days per week in the DMV area and/or prepared to travel a minimum of 25%

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full‑time position in the location of Washington DC is: $187,200 - $234,000 USD

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 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.

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.

Scale AI, based in Washington, DC, is seeking an Engagement Manager (Computer Vision) for the public sector to lead delivery of CV workflows for a national security customer. You will own or support account plans, manage day-to-day execution, and ensure outstanding customer experience in a fast-paced, mission-driven setting.

The role blends program leadership, customer relationships, and technical fluency with contract awareness, requiring onsite presence in the DMV area up to 4 days per week

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and more. Our mission is to develop reliable AI systems for the world’s most important decisions.

Scale’s Global Public Sector (GPS) team is growing quickly and joining it is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government‑backed entities.

This is a defense role. We’re looking for a Staff Technical Product Manager to own critical product areas within Scale’s Global Defense business, serving allied defense and national security customers. You’ll be a critical builder, shaping and developing Scale’s global defense products, while being the primary technical expert to our global customers.

The ideal candidate brings together a strong engineering or ML background, entrepreneurial drive, the eagerness to be a hands‑on builder, and the ability to get in front of senior technical and government stakeholders to drive mission‑critical outcomes.

• Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships
• Be hands‑on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding
• Design and ship AI‑powered products and tooling for defense and national security workflows, working side‑by‑side with engineering and ML teams
• Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements
• Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air‑gapped deployments — or be ready to learn these fast
• Operate like a founding team member: wear multiple hats, move fast, unblock yourself, and drive outcomes across engineering, operations, and go‑to‑market

• Builder mentality: you’re energized by going from zero to one, not by managing from a distance
• 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands‑on with what shipped
• Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus
• Deep intellectual curiosity about AI systems — you read papers, dig into technical details, and have strong opinions about how things should be built
• Enough customer instinct to know what matters, but your default mode is building, not selling
• Bias for action and comfort wearing multiple hats in fast‑moving environments
• Willingness to travel to allied partner nations as needed

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 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.

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.

Scale is powering the generative AI wave — from the world‑class data fueling frontier AI models to the enterprise AI systems that turn breakthroughs into business outcomes for Fortune 500 companies and governments worldwide. AI is rapidly changing the world, and Scale is growing to meet that rapid demand.

Our Legal team works on exciting legal and commercial issues at the leading edge of artificial intelligence, generative AI, and machine learning technology. This role will support our Enterprise business unit by negotiating complex revenue deals with Fortune 500 enterprise companies driving the development of agentic AI applications across industries including healthcare, insurance, financial services, and consumer goods and services. You will join a creative and solutions‑oriented team that collaborates internally with teams at Scale and externally with our customers.

We are looking for a relentlessly curious, deliberately open‑minded, pragmatic, and action‑oriented commercial attorney who can negotiate complex agreements and effectively advise on legal risk — all while being a great teammate. This is an individual contributor role with significant scope and visibility that will run deals from end‑to‑end and help shape Scale's commercial legal function as it scales with the business.

• Draft, review, and negotiate master services agreements with Fortune 500 and other companies, working closely with our sales, product, and engineering organizations to close revenue deals
• Draft, review, and negotiate a wide range of other agreements, including partnership, reseller, vendor agreements and data processing agreements
• Partner closely with GTM teams to drive deals and the business forward
• Serve as a trusted legal advisor and business accelerator by providing practical legal counsel to sales, product, engineering, and marketing teams
• Assess legal risk and advise the business accordingly
• Design, implement, and iterate on policies and processes to manage legal and business risk on a global scale

• J.D. from an accredited law school and admission to the New York State Bar in good standing
• 5+ years of combined law firm and in‑house experience with training in commercial agreements
• Experience partnering with Sales, guiding negotiation cycles, and closing high‑impact revenue deals
• Experience drafting and negotiating complex enterprise licensing, services, and data processing agreements
• An ability to communicate clearly and concisely with business and technical audiences and effectively translate legal concepts for non‑lawyers
• A collaborative and low‑ego approach to working across the organization, with a "roll‑up‑your‑sleeves" attitude towards tackling novel legal issues
• Deep interest in artificial intelligence, machine learning technology, generative AI, and AI applications

• Experience working on IP and technology transactions at a large law firm
• Experience advising growth‑stage technology companies regarding legal issues related to AI/machine learning and/or generative AI applications
• Product or privacy counseling experience

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary range for this full‑time position in the locations of San Francisco, New York, and Seattle is $227,200—$284,000 USD.

Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a possible commuter stipend.

Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide high‑quality data and full‑stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We are committed to an inclusive and equal opportunity workplace and comply with applicable equal‑employment‑opportunity laws.

We provide reasonable accommodations to applicants with disabilities. For assistance or a reasonable accommodation, contact

Scale AI is seeking a Commercial Attorney to support their Enterprise business unit in negotiating complex agreements with Fortune 500 companies. This role offers significant scope and visibility, requiring a candidate with a J.D. and at least 5 years of relevant experience.

The position involves drafting, reviewing, and negotiating various agreements, collaborating closely with sales and engineering teams, and providing legal advice to simplify complex legal matters for non-lawyers. A strong interest in AI and machine learning is essential.

Machine Learning Solutions Engineer – Robotics

The next frontier for AI is the physical world. At Scale, we’re pioneering this shift, moving artificial intelligence from digital spaces into robotics.

Our Robotics team builds the critical infrastructure that empowers the most sophisticated robotic efforts. We are currently seeking a strategic MLSE to join our team and make a direct impact on our platform’s success.

As a Machine Learning Solutions Engineer, you will be a trusted technical partner to the world’s most innovative Foundation Model builders and renowned robotics companies. You will partner closely with Product, Sales, and ML Engineers to guide prospective customers through the pre‑sales process, delivering customized demos and Proof of Concepts that secure the technical win as well as being a critical role in the strategy shaping of our next generation of products covering the full end‑to‑end process from data collection to deployments.

You’ll help customers bridge the gap from demos to real‑world deployment in production by defining technical requirements for multi‑modal real‑world data pipelines (from data collection, curation, training to deploying models at customer sites and evaluating the performance). You’ll develop actionable Statements of Work and collaborate with the delivery team on high‑fidelity ground truth implementation. Your expert knowledge of Scale’s products will allow you to design creative, impactful solutions.

This is a critical role that directly influences multi‑million dollar contracts and initiatives. You'll travel globally to conduct on‑site technical workshops and scope new projects, while also leading demos and pilots for new prospects. You'll be part of a tight‑knit, specialized team, influencing a rapidly growing business that is expanding into new product areas.

• Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients.
• Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights and help implementing and developing PoC’s.
• Become a domain expert in next‑generation Robotics and physical AI (e.g. VLMs, VLAs, World Models).
• Develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi‑sensor fusion and calibration, GPS/INS navigation systems, computer vision and other autonomy‑adjacent concepts.
• Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers.
• Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows.
• Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions.
• Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem.
• Evangelize Scale by interacting with customers at major industry events and academic conferences.

• PhD in Robotics, or an M.S. in Robotics with a strong track record of deploying VLAs to production.
• 3+ years of experience developing with Python, C++, Java, and/or other scripting languages.
• Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership.
• The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front‑line engineers.
• A high level of comfort communicating effectively across internal and external organizations.
• Regular travel within the Bay Area.
• International travel approximately once every three months.
• Intellectual curiosity, empathy, and the ability to operate with a high degree of autonomy.

• Prior sales, solutions engineering, or partnership experience with a track record of successfully achieving quota.
• Ideally would have experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.

The base salary range for this full‑time position in the location of San Francisco is:

$180,000 - $225,000 USD

Your package will include base salary, equity, and benefits such as comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potentially a commuter stipend.

At Scale, we believe that everyone should be able to bring their whole selves to work. We are proud to be an inclusive and equal opportunity workplace and 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

We comply with the United States Department of Labor’s Pay Transparency provision.

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. Please see our privacy policy for additional information.