Enterprise ML Research Scientist - GenAI Data Foundations

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

Benefits offered by this job

Health, dental & vision coverage

Equity compensation

Generous PTO

Learning & development stipend

Commuter stipend

Job summary

Scale AI seeks a researcher for the Enterprise ML Research Lab to advance agent building and post-training methods. You will develop synthetic data pipelines and craft agents that turn production traces into actionable insights, driving improvements across our enterprise deployments.

The role emphasizes collaboration with cross-functional teams, publication in leading conferences, and expertise in data for LLMs.

Qualifications

• 3+ years of building with LLMs in a production environment.
• Experience constructing high quality data to improve an LLM/Agent.
• Publications in top conferences (NEURIPS, ICLR, or ICML) within the last two years.
• PhD or Masters in Computer Science or related field.

Responsibilities

• Build synthetic data pipelines to generate enterprise environments to use for RL post-training.
• Create agents to convert traces from production into actionable insights to use 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

LLMs in production

High-quality data for LLMs

Agent building experience

Post-training methods

Education

PhD or Masters in Computer Science

Job description

Scale AI seeks a researcher for the Enterprise ML Research Lab to advance agent building and post-training methods. You will develop synthetic data pipelines and craft agents that turn production traces into actionable insights, driving improvements across our enterprise deployments.

The role emphasizes collaboration with cross-functional teams, publication in leading conferences, and expertise in data for LLMs.