GenAI ML Research Scientist: Agent Data Foundation

Scale AI, Inc.; San Francisco (CA); On-site; USD 265,000 - 331,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI, Inc. in San Francisco seeks a Machine Learning Research Scientist for the Enterprise GenAI Data Foundation. You will advance post-training and agent-building tech for enterprise agents and synthetic environments, shaping the data flywheel for cutting-edge GenAI.

This role offers a comprehensive compensation package including base salary, equity and benefits. Salary range shown: $264,800 — $331,000 USD, with a strong focus on research impact and collaboration across Scale's enterprise

Qualifications

• 3+ years of building with LLMs in a production environment.
• Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years.
• PhD or Masters in Computer Science or a related field.

Responsibilities

• Build synthetic data pipelines to generate enterprise environments for RL post-training.
• Create agents to convert traces from production into actionable insights to improve agents.
• Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms.
• Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers.

Skills

3+ years of building with LLMs in prod

Publications in top conferences (NEURl

Education

PhD or Masters in Computer Science or related field

Job description

Scale AI, Inc. in San Francisco seeks a Machine Learning Research Scientist for the Enterprise GenAI Data Foundation. You will advance post-training and agent-building tech for enterprise agents and synthetic environments, shaping the data flywheel for cutting-edge GenAI.

This role offers a comprehensive compensation package including base salary, equity and benefits. Salary range shown: $264,800 — $331,000 USD, with a strong focus on research impact and collaboration across Scale's enterprise