Member of Engineering (Reinforcement Learning)

📋 Description Research and experiment to improve reasoning and code generation for LLMs Own the full experiment life cycle from idea to experimentation and integration Keep up with latest research in LLMs, RL, and code generation Design, analyze, and iterate on data generation and training of LLMs Implement RL training pipelines that scale reliably across domains Diagnose training instabilities and failures, and write maintainable code 🎯 Requirements Experience with Large Language Models (LLMs) and transformers Knowledge of scaling laws and mid-/post-training techniques Experience training reasoning and agentic models Hands-on use of LLMs and understanding their capabilities and limits Reinforcement Learning experience and distributed RL pipelines Strong Python, ML algorithms and PyTorch or JAX 🎁 Benefits Fully remote work and flexible hours 37 days/year of vacation and holidays Health insurance allowance for you and dependents 16 weeks of flexible, full-pay parental leave Well-being, always-be-learning and home office allowances Company-provided equipment