# Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA, New York, NY, Seattle, WA
**Role:** ML Engineering
**Salary:** $218k – $273k/yr
**Experience:** 3+ years
**Skills:** LLMs, Reinforcement Learning, Synthetic Data, Agent Building, Post-Training Algorithms, Python, Machine Learning, PyTorch, Data Pipelines, Trace Analysis
**Posted:** 2026-02-12

> Develops synthetic data pipelines, production trace agents, and automated agent-building frameworks for enterprise GenAI. Requires 3+ years LLM production experience, top conference publications, and advanced CS degree.

## Job Description

## Responsibilities
- Build synthetic data pipelines to generate enterprise environments for RL post-training.
- Create agents to convert production traces into actionable insights for agent improvement.
- Contribute to agent-building product using coding agents and proprietary algorithms.
- Train state-of-the-art models (internal and community) for enterprise deployment.

## Requirements
- 3+ years building with LLMs in production environments.
- Experience constructing high-quality data to improve LLMs/Agents.
- Publications in top conferences (NeurIPS, ICLR, ICML) within last two years.
- PhD or Master's in Computer Science or related field.

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**Apply:** https://hotfix.jobs/jobs/c04650e4-6722-4170-ae84-943c4d2aac4f
**Canonical:** https://hotfix.jobs/jobs/c04650e4-6722-4170-ae84-943c4d2aac4f