Jobs at Scale AI

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

As a Software Engineer, you will develop backend services for AI applications, optimize cloud infrastructure, and manage production-level deployments.

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

As a Senior Software Engineer, you'll scale the Scale Generative AI Platform, owning product areas, working across multiple tech stacks, and solving engineering challenges.

The AI Strategy Consultant will design and execute research experiments, improve data quality, and collaborate with ML scientists to advance AI innovations.

The Machine Learning Engineer will design, train, deploy, and evaluate AI models to address public sector challenges, ensuring high-quality data training and evaluating systems.

As a Mission Software Engineer, you'll develop solutions for government customers by integrating software into existing workflows, requiring significant travel, collaboration, and technical expertise.

Design, build, and maintain scalable data warehouses, marts, and BI reporting; create robust data models and pipelines; perform audits and data quality tests; collaborate with cross-functional teams to provide single-source-of-truth analytics and support business decision-making. Requires active security clearance.

The role involves managing commercial partnerships for data collection in Mexico, overseeing partner relations, team leadership, and ensuring operational efficiencies.

Lead architecture and technical direction for Scale's Generative AI Data Engine, embedding into high-priority Contributor teams to unblock delivery, overhaul platform infrastructure for LLM-native workloads, ensure scalability/reliability, mentor engineers, partner with product/leadership, and own large end-to-end backend, frontend, and ML system initiatives.

Lead DoD account strategy to transition Agentic AI prototypes into program-of-record deployments. Own full sales lifecycle and multi-million dollar quota, draft proposals and white papers, negotiate with primes/SIs, co-design technical Agentic workflows, manage post-award transition and long-term expansion, and travel ~20-30% while based in the National Capital Region.

Lead the revenue accounting team, ensuring compliance with ASC 606 and U.S. GAAP, manage close activities, provide technical guidance, and collaborate on revenue metrics.

Design and implement core identity infrastructure for authentication and authorization. Build SSO, MFA, federated identity, and authorization systems (ReBAC/ABAC/RBAC). Create identity governance policies for compliance, integrate IAM with cloud services, and present technical guidance to stakeholders.

Lead and execute public sector compliance and A&A programs (FedRAMP, DoD SRG, NIST, CMMC). Manage controls mapping, gap analysis, evidence collection, POAMs, vulnerability management, and auditor coordination. Drive cross-functional control implementation, maintain security documentation and GRC tooling, expand certification portfolio, and support customer assurance and audit activities.

As a Research Scientist, you will develop post-training methods and interpretability techniques to enhance AI system safety and collaborate with stakeholders on best practices.

Lead cross-functional, end-to-end technical programs for robotics and physical AI. Align Engineering, Operations, Product, and GTM; define scope and schedules, manage dependencies and risks, create program documentation and executive updates, establish scalable processes, and execute hands-on to drive hardware-software systems from design to large-scale production.

Design and implement end-to-end features across front-end, back-end, and infrastructure for Scale's Generative AI Data Engine. Build scalable systems using TypeScript, MongoDB, Elasticsearch, and Temporal that handle millions of tasks weekly. Own high-impact revenue-critical systems, collaborate with model and cross-functional teams, and help shape engineering culture and best practices on a hybrid team in San Francisco or New York City.

Lead strategic planning and execution for the Scale Generative AI Platform, owning technical scoping, architecture, and production launches. Coordinate cross-functional teams (platform engineering, Core ML, Research, Product), translate infrastructure metrics into roadmaps, mitigate deployment risks, define SLOs, drive developer velocity, and report adoption and reliability metrics to executive leadership to ensure scalable, secure, production-grade GenAI infrastructure.