
Scale AI
San Francisco, CA
AI data platform for training and evaluation
About
Scale AI provides high-quality data labeling, model evaluation, and full-stack technologies to train AI applications. It serves enterprises, governments, and AI research labs for reliable AI systems in critical decisions like defense and generative AI. This infrastructure powers leading models and accelerates AI deployment.
Tech stack
Python, AWS, Kubernetes, GCP, PyTorch, Docker, Azure, Terraform, TypeScript, React, SQL, JavaScript, Node.js, TensorFlow, MongoDB
Perks & benefits
Health insurance, Dental insurance, Vision insurance, 401k match, Unlimited PTO, Parental leave, Mental health support
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206Own the robotics product roadmap and data strategy for physical AI, building training datasets, simulated environments, collection pipelines, and evaluation frameworks. The role requires deep robotics or physical AI experience, fluency in modern robot learning, and the ability to lead cross-functional product development.
Designs, operates, and automates secure IT infrastructure across identity, endpoint management, and SaaS systems for a regulated public-sector environment. Requires 5+ years of IT systems or infrastructure experience, IAM expertise, scripting skills, and familiarity with federal security frameworks.
Leads architecture, deployment, and evaluation of reliable agentic ML systems for classified and regulated government environments, including geospatial reasoning, retrieval, memory, and shared infrastructure. Requires 8+ years of production ML experience, Staff-level technical leadership, Python, PyTorch, and an active TS clearance.
Owns the architecture, production deployment, evaluation, and improvement of agentic and generative machine learning systems for mission-critical public-sector applications. Requires 5+ years of production ML experience, strong Python and deep learning skills, architectural ownership, and an active TS clearance.
Leads cross-functional delivery of AI/ML programs for public-sector cyber customers, managing accounts, datasets, deployments, and issue resolution. Requires cybersecurity experience, an active Top Secret clearance with polygraph, technical education, and willingness to work onsite in Columbia four days weekly.
Leads product design for enterprise AI data products, covering 0-to-1 initiatives and established applications. The role requires strong B2B web application experience, advanced Figma proficiency, and the ability to collaborate across product, engineering, data science, and operations.
Provides strategic product and intellectual property counsel for AI products, managing the global IP portfolio, patent activities, compliance, and commercial agreements. Requires 8+ years of legal experience, a JD, and California bar membership.
Leads strategy, roadmap, and execution for an enterprise AI core platform while managing a product management team. Requires platform or developer-product experience, strong technical fluency across APIs and infrastructure, and the ability to drive adoption across complex organizations.
Leads and codes alongside a team building secure, cloud-native AI model inference infrastructure for public-sector customers. Requires engineering people-management experience, strong hands-on software development skills, and an active Secret clearance with eligibility for TS/SCI.
Build and deploy end-to-end data infrastructure and customer-facing solutions for leading AI organizations and government agencies. The role requires strong coding, customer collaboration, scalable product delivery, and familiarity with distributed systems, cloud infrastructure, and AI concepts.
Leads strategy, communications, events, and operational systems for a large contributor community, using feedback and metrics to improve engagement and retention. Requires a bachelor’s degree, five or more years of relevant experience, strong writing, community-platform expertise, and people-management experience.
Build and evolve shared platform infrastructure, data systems, and developer tooling for AI products. The role requires 5+ years of backend engineering experience, distributed systems expertise, and familiarity with cloud, orchestration, databases, and CI/CD technologies.
Leads cross-functional delivery of AI/ML solutions for national security customers, combining technical program management, stakeholder leadership, analytics, and customer success. Requires an active TS/SCI clearance, generative AI/ML fluency, and regular work at a cleared Boston-area facility.
Leads cross-functional delivery of AI/ML solutions and agentic workflows for public sector and national security customers. Requires technical program management, stakeholder leadership, generative AI expertise, an active TS/SCI clearance, and customer-facing problem-solving experience.
Build and ship customer-facing software, data pipelines, evaluation infrastructure, and AI applications at scale. The role is intended for new graduates with a bachelor’s degree, internship experience, product engineering skills, and proficiency in technologies such as Python, TypeScript, React, or MongoDB.
Summer 2027 software engineering intern building and shipping production systems across AI infrastructure, evaluation, data pipelines, and product engineering. Requires a relevant bachelor's degree, prior software engineering internship experience, and familiarity with Python, TypeScript, React, and/or MongoDB.
Leads and grows the enterprise product design team, setting design direction, driving execution, and shaping intuitive workflows for AI-enabled products. Requires at least three years managing product design teams and experience with enterprise, data-dense, and agentic-platform experiences.
Supports GenAI compliance review workflows, risk triage, Legal coordination, audit readiness, access governance, and operational controls. Requires 1–3 years of relevant experience, a bachelor's degree, advanced English, and basic SQL and dashboard skills.
Coordinates domestic and international payroll processing, audits, accounting, compliance, vendor management, and employee support across a global workforce. Requires English fluency, strong technical aptitude, and at least two years of international payroll experience with PEO/EOR systems.
Own the network architecture and standards for a multi-cloud enterprise AI platform deployed across Kubernetes environments and customer-controlled networks. The role requires deep cloud and Kubernetes networking expertise, strong security fundamentals, and the judgment to establish scalable, supportable connectivity patterns.
Senior Software Engineer on the Platform Engineering team, designing and building shared data platforms, cloud infrastructure, orchestration systems, and developer tooling. Requires backend engineering experience, distributed systems expertise, and proficiency with cloud, containerization, databases, and CI/CD.
Senior Data Analyst supporting the Public Sector business by building scalable analytics solutions, defining metrics, improving data quality, and informing operational and financial decisions. Requires 6+ years of experience, advanced SQL, BI dashboard skills, and an active Secret clearance.
Build and operate cloud-agnostic deployment and observability infrastructure across public clouds and on-premises environments. The role requires 5+ years of infrastructure experience, strong networking and IaC expertise, and ownership of production systems and cross-functional projects.
Staff engineer responsible for designing and scaling the infrastructure, execution environments, verifiers, and tooling used to train and evaluate AI agents. Requires 8+ years of software engineering experience, strong Python and distributed-systems expertise, and familiarity with sandboxing, high-throughput systems, and LLM workflows.
Own product strategy and execution for GenAI marketplace, data, or contributor products, partnering closely with engineering, data science, operations, and leadership. The role requires 4–10 years of product management experience, strong analytical and technical fluency, and the ability to scale products in ambiguous environments.
Supports analytics, KPI tracking, reporting, and structured data infrastructure across operational teams. The role maintains datasets, queries, dashboards, and recurring reports while helping stakeholders measure workforce and contractor performance consistently.
Leads DHS and DOJ enterprise sales, capture, deployment, and expansion for agentic AI solutions. Requires 10+ years in federal technology sales, major deal experience, deep homeland security relationships, and strong knowledge of AI/ML modernization.
Research Scientist focused on evaluating frontier language and multimodal models, diagnosing failure modes, and building rigorous benchmarks. The role requires advanced training in AI or a related field, post-training expertise, and published machine learning research.
Research novel post-training methods for large language models, focusing on preference optimization, data curation, evaluation, alignment, and robustness across text and multimodal systems. Requires advanced academic training and experience with deep learning, reinforcement learning, and post-training techniques.
Engagement Manager leading government and research-institution engagements for custom AI applications, Arabic LLM initiatives, and training programs. The role combines client relationship management, operational delivery, business development, and cross-functional coordination, requiring 5–7+ years of experience and fluency in English and Arabic.
Leads customer relationships, account execution, and delivery of agentic AI workflows for a national security customer. Requires 5+ years in stakeholder management or customer-facing enterprise solution delivery, an active TS/SCI clearance, and frequent onsite work in Colorado Springs.
Owns Public Sector sales enablement programs spanning onboarding, ongoing rep development, playbooks, and GTM knowledge management. The role requires program management experience, familiarity with government sales, strong stakeholder collaboration, and effective use of AI and enablement systems.
The Program Manager will build and operationalize Scale’s enterprise compliance and GRC programs, covering ABAC, third-party risk, sanctions, policy governance, risk management, reporting, and diligence. The role requires 5+ years of in-house compliance experience plus strong process, analytical, and project management capabilities.
Manages subcontractor relationships and execution for complex Public Sector programs, integrating external deliverables into technical plans and schedules. The role requires 5+ years of program or subcontract management experience, strong systems integration fluency, and an active Top Secret clearance.
Build and scale technical enablement for customer-facing engineering, including onboarding, knowledge-base governance, and ongoing development. The role requires program management experience, strong technical documentation instincts, and the ability to partner with engineering and cross-functional stakeholders.
Own strategic government customer relationships and lead technical delivery for homeland defense AI and agentic workflow initiatives. The role requires an active TS/SCI clearance, at least five years of relevant technical delivery experience, strong customer and communication skills, and substantial onsite engagement in secure environments.
Own technical execution for national security programs, translating operational needs into executable requirements and coordinating engineering, customer, and partner stakeholders through deployment and evaluation. The role requires 5+ years of technical delivery experience, strong software and AI/ML literacy, and an active TS/SCI clearance.
Leads Scale’s zero-to-one commercial motion for acquiring proprietary data used to build AI reinforcement-learning environments. The role maps data holders, structures and closes deals, evaluates dataset value, and builds a repeatable acquisition pipeline while partnering with Research, Legal, and Finance.
Own the operational reliability, governance, and lifecycle maintenance of production AI solutions for public-sector and enterprise customers. The role combines software engineering, MLOps, incident management, automation, model monitoring, and senior client communication.
Own enterprise deal pricing, modeling, approval coordination, and reporting while improving commercial workflows and supporting sales and finance strategy. Requires 3+ years in finance, deal desk, sales operations, consulting, or a high-growth startup, plus strong analytical and financial modeling skills.
Owns strategic public-sector partner relationships, joint go-to-market plans, teaming pursuits, and partner-sourced pipeline across defense, intelligence, and federal civilian markets. Requires 8+ years of relevant experience, federal contracting expertise, AI/ML fluency, and eligibility for U.S. security clearance.
The Strategic Finance Manager will lead workforce planning, forecasting systems, budgeting, and financial analysis while partnering with cross-functional leaders to guide resource allocation and company growth. The role requires 4+ years of corporate or strategic finance experience, strong Excel modeling, forecasting-tool expertise, and process-improvement skills.
Owns program-level planning, demand forecasting, staffing validation, and opportunity ingest for priority accounts. Drives operational improvements through scalable tools, standardized processes, and cross-functional coordination in a high-growth ops environment.
Owns end-to-end product design for complex, data-dense government and defense workflows, partnering directly with Product, customers, and engineers. The role requires 10–15 years of experience, strong enterprise design expertise, client-facing presence, and comfort working in code and high-ambiguity environments.
Coordinates partner acquisition, onboarding, daily operations, performance tracking, hardware deployment, and process improvements for an industrial robotics partnerships network. Requires bilingual Spanish and English communication, a bachelor's degree, and 2+ years of relevant operations or commercial experience.
Develops product, customer, and brand marketing for high-impact AI partnerships with Qatar and GCC government institutions. The role requires 5+ years in product or customer marketing, public-sector communications expertise, GCC market familiarity, strong storytelling, and Arabic fluency.
Builds end-to-end agentic AI tools and production systems, spanning polished frontends, distributed backends, data pipelines, and LLM integrations. Requires at least three years of software engineering experience, strong full-stack fundamentals, and familiarity with modern AI infrastructure.
Supports national security policy strategy and engagement with the Department of Defense, intelligence agencies, Congress, and the Administration. The role requires 5–8 years of defense or technology policy experience, strong communication skills, and the ability to manage multiple workstreams.
Leads enterprise product marketing for AI offerings by developing vertical-specific messaging, content, sales enablement, customer marketing, and executive advisory programs. Requires 5+ years of B2B enterprise product marketing experience and strong communication, storytelling, analytical, and cross-functional influence skills.
Build and scale enterprise generative AI platform capabilities across backend and frontend systems. The role requires 4+ years of engineering experience, strong Python or JavaScript/TypeScript skills, and familiarity with distributed systems, LLMs, cloud infrastructure, and modern APIs.