Lead a software engineering team managing technical execution and team development for AI solutions in the public sector, ensuring compliance and performance.

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

The role involves developing ML systems for customer use cases on the GenAI platform, combining classical and advanced techniques, while collaborating with cross-functional teams.

The Machine Learning Engineer will deploy models, improve existing systems, collaborate with teams, and work with large datasets for government clients.

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

Software Engineers will design and implement scalable backend systems for Federal customers, focusing on high-impact AI solutions while collaborating with cross-functional teams.

The Developer Productivity Engineer will enhance developer experience by creating automation frameworks, improving workflows, and resolving development issues.

Manage a team to train state-of-the-art AI models, work with clients on solutions, and improve products with data-driven insights.

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.

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

The Director of Robotics Operations will manage cross-functional teams, oversee data collection processes, and optimize workflows to drive operational excellence.

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.

Lead strategic initiatives for data collection projects to drive revenue, ensure operational efficiency, and manage diverse global teams.

The Head of IT Support will lead global IT support teams, enhance service delivery, implement strategic plans, and drive AI initiatives to improve operational efficiency.

This role focuses on advancing reasoning in large language models (LLMs), requiring expertise in data strategy and model evaluation. The candidate will collaborate on research and bring solutions to real-world applications.

Responsible for developing and launching platform components for Scale's Generative AI Platform, leading cross-functional teams, and managing the product lifecycle from discovery to launch.

The AI Architect translates AI research into product roadmaps, collaborates with research teams and customers, and drives model improvement and deployment. This role requires leading technical projects, writing technical specifications, and ensuring successful outcomes by collaborating across functions.

Lead and manage the Sales Enablement onboarding and support programs, collaborating with sales leaders and stakeholders to enhance training effectiveness and communication.

The Director, Business Systems will enhance and integrate Finance, GTM, Operations, and People systems, focusing on AI automation, operational excellence, and team leadership.

Lead design initiatives for contributor experience in AI, creating user flows and UI designs while refining and prototyping using user feedback.