Machine Learning Research Engineer, Agents - Enterprise GenAI
Develops and deploys state-of-the-art ML models and agents for enterprise GenAI using RL training and post-training algorithms. Requires 1-3 years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
About the job
Responsibilities
- Train state-of-the-art models (internal and community-developed) for enterprise deployment.
- Research and integrate cutting-edge algorithms into the training stack.
- Build agents using proprietary algorithms to optimize datasets, including tools, multi-agent systems, and complex rewards.
Requirements
- 1-3 years building LLMs in production environments.
- Experience with post-training methods (RLHF/RLVR, PPO/GRPO).
- Publications in top conferences (NeurIPS, ICLR, ICML) within last 2 years.
- PhD or Master's in Computer Science or related field.
Skills
LLMs, RLHF, Rlvr, Ppo, Grpo, Reinforcement Learning, Multi-Agent Systems, Agent Rl Training, Post-Training Algorithms
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