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.

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.

Design, build, and operate a secure, high-performance agent sandboxing platform. Ensure isolation, reproducibility, and efficient resource use across containerized/virtualized environments. Improve developer experience (APIs, client SDKs, docs), debug and monitor production incidents, lead architecture and end-to-end projects, and collaborate with internal teams to shape roadmap and tooling.

The Research Advisor will provide high-level consultancy for generative AI systems, engage in research collaborations, and represent the Human Frontier Collective in key executive meetings.

Perform part-time quality audits and evaluations of task outputs, define and refine quality benchmarks and scoring rubrics, analyze audit results to produce actionable insights and reports, and recommend process improvements to raise output quality.