ML Research Engineer: Agent Data Foundation & GenAI

Scale AI; United States; Hybrid; USD 180,600 - 315,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

A leading AI data foundry in the United States is seeking a Machine Learning Research Engineer to work on advanced AI applications. You will build synthetic data pipelines, create actionable insights, and train state-of-the-art models for enterprise clients. Candidates should have 3+ years of experience with LLMs and a relevant advanced degree. The position offers a competitive salary, equity, and comprehensive benefits.

Qualifications

• 3+ years of building with LLMs in a production environment.
• Experience with constructing high-quality data to improve LLM/Agent.
• Publications in top conferences like NEURIPS, ICLR, or ICML in the last two years.

Responsibilities

• Build synthetic data pipelines for RL post-training.
• Create agents for actionable insights from production traces.
• Contribute to agent-building product with proprietary algorithms.
• Train state-of-the-art models for enterprise customers.

Skills

LLMs experience

Data pipeline construction

Agent building

Synthetic data generation

Education

PhD or Masters in Computer Science or related field

Job description

A leading AI data foundry in the United States is seeking a Machine Learning Research Engineer to work on advanced AI applications. You will build synthetic data pipelines, create actionable insights, and train state-of-the-art models for enterprise clients. Candidates should have 3+ years of experience with LLMs and a relevant advanced degree. The position offers a competitive salary, equity, and comprehensive benefits.