Jobs at Scale AI

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.

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

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

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 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.

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

Design, evaluate, and deploy production AI agents that combine LLMs, retrieval, memory, and traditional ML. Build retrieval and memory pipelines, multi-agent systems, evaluation frameworks, and production guardrails. Run experiments and ablation studies, collaborate with infrastructure and enterprise customers, and measure business impact while ensuring reliability, safety, and observability.

Design, evaluate, and deploy production frontier AI agents that combine LLMs, retrieval, memory, tool use, and traditional ML. Build retrieval and memory systems, multi-agent coordination, evaluation frameworks, and production engineering (reliability, observability, safety). Partner with enterprise customers to translate problems into scalable AI architectures and run experiments to measure business impact.

Design, evaluate, and deploy production AI agents combining LLMs, retrieval, memory, and tool use. Build retrieval/memory pipelines, multi-agent systems, evaluation frameworks, and production engineering for reliable, safe enterprise AI deployments while partnering directly with customers.

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.

Embed with U.S. government customers to design, build, deploy, and maintain mission software from prototype to production. Own end-to-end delivery, build backend systems and data integrations, collaborate with product and engineering to scale reusable capabilities, and serve as the technical point of contact to drive adoption and mission impact.

The Enterprise Account Executive will drive revenue growth in strategic enterprise accounts, manage relationships, and coordinate internal teams for successful sales processes.

As a Full-Stack Software Engineer, you'll lead the technical strategy for AI applications in the public sector, architecting frameworks, guiding development, and mentoring staff.

The Staff Full Stack Software Engineer will lead AI application development for the public sector, architect scalable systems, and mentor staff while collaborating with clients to implement solutions that enhance operations.

The Research Advisor will provide high-level consultancy on AI model governance, engage with clients, and contribute to impactful research and publications within the Human Frontier Collective.

Develop and maintain software systems for robotics data collection and model training, utilizing various technologies for end-to-end solutions.

As a Senior Full-Stack Software Engineer, you will develop AI applications for public sector clients, design full-stack solutions, and manage cloud infrastructure while collaborating with cross-functional teams to address complex challenges.