Job Description
📋 Description Grow the end-to-end strategy for our next generation of machine learning-based evaluation metrics Architect and build scalable systems for training and fine-tuning large-scale generative models to Lead the design, implementation, and iteration of novel RL algorithms, reward functions, and Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions to Proactively monitor and assimilate best practices to develop a Reinforcement Learning from Human Provide technical mentorship and guidance to other engineers within the team and across 🎯 Requirements PhD or equivalent practical experience in Computer Science, ML, AI 10+ years of hands-on ML experience with a focus on Reinforcement Learning 2+ years of people management experience Expertise in deep learning, sequence modeling, and generative models Strong publication record or history of impactful project delivery in RL or related areas Proficiency in Python and ML frameworks (e.g., JAX, TensorFlow) 🎁 Benefits Discretionary annual bonus program Equity incentive plan Generous Company benefits program
