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

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

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

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.

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 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.

Lead initiatives for Scale's Generative AI business, managing customer pipelines and improving operational efficiency while collaborating with various stakeholders.

Lead the technical strategy and execution of Enterprise AI applications, ensuring scalable AI infrastructure and mentoring senior engineers across teams. Drive innovation in AI technologies and represent Scale externally.

The Mission Software Engineering Manager will lead and mentor an engineering team, develop AI solutions for government agencies, and implement required software integrations while ensuring backend systems operate in secure environments.

Provide technical direction for the Data Engineering team, develop experimentation systems, and work across product lifecycle with cross-functional teams.

Lead a team of research scientists and engineers in machine learning and Generative AI, defining research roadmaps, promoting collaboration, and driving execution from prototyping to deployment.

The Engagement Manager will establish and maintain customer relationships, drive revenue, manage engagement processes, and advocate for customer needs in robotics projects.

Design and implement identity and access management (IAM) infrastructure, manage authentication methods, and ensure compliance with security standards.

The Deal Desk & Pricing Manager will lead pricing strategies, internal deal processes, and financial analysis to support sales operations and strategy, ensuring alignment between sales and finance teams.