We are seeking a Staff Machine Learning Research Engineer to join our Enterprise ML Research Lab. As a key member of our team, you will build out our next-gen Agent RL training platform, integrating cutting-edge research into our training stack. You will train state-of-the-art models, design solutions for complex multi-agent systems, and collaborate with our team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models.
The ideal candidate will have 5+ years of LLM training in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years. A PhD or Masters in Computer Science or a related field is required.
In addition to a competitive salary, you will receive equity-based compensation, comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also be eligible for additional benefits such as a commuter stipend.
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