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.

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

Lead the development of evaluation methodologies for large language models, collaborating with teams and publishing research findings. Enforce best practices in AI development.

As a Staff Applied AI Engineer, you will develop AI solutions for enterprise clients, managing projects from requirement gathering to code implementation, with a focus on complex technical issues in AI.

The Tech Lead Manager will lead a team focused on developing methodologies for LLM evals, conducting research, creating benchmarks, and collaborating with clients and partners.

The role involves developing post-training techniques for improving LLM capabilities, collaborating with teams, and publishing research findings.

The role involves architecting and scaling AI training platforms using GPU clusters, optimizing job scheduling, integrating new technologies, and collaborating with researchers on complex AI infrastructures.

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.

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 job posting invites candidates from the DC SACC 2026 to connect about potential AI and machine learning roles at Scale AI, emphasizing their mission in developing reliable AI systems for impactful decisions.