Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI
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.
About the job
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.
Skills
LLMs, Reinforcement Learning, Synthetic Data, Agent Building, Post-Training Algorithms, Python, Machine Learning, PyTorch, Data Pipelines, Trace Analysis
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