Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI
Core
Building synthetic data pipelines, agents for trace analysis, and post-training algorithms to create a data flywheel for enterprise GenAI agents.
Role type
Senior Machine Learning Research Engineer (Agent Data Foundation)
Builds
Synthetic environments, trace analysis agents, and agent-building frameworks for enterprise clients.
Domain
Generative AI, Reinforcement Learning, Enterprise AI
Deliverable
production ML models | product features
Required skills
LLM production experience, high-quality data construction for LLM/Agent improvement, RL post-training, agent building algorithms
Preferred skills
Publications in top conferences (NEURIPS, ICLR, ICML), PhD or Masters in Computer Science
Technologies
LLMs, RL, agent-building frameworks, coding agents
Responsibilities
Build synthetic data pipelines to generate enterprise environments for RL post-training; Create agents to convert production traces into actionable insights; Contribute to agent building product using coding agents and proprietary algorithms; Train state-of-the-art models for enterprise customer deployment
Seniority
Senior, hands-on IC