Research Scientist, Personalized Generative AI

• PhD in Machine Learning, Reinforcement Learning, Natural Language Processing, or a related field.
• Strong data analysis and synthetic data generation skills.
• Strong development skills in Python and experience with deep learning frameworks like JAX, PyTorch, or TensorFlow.
• Experience building and working with large-scale ML training systems.

• Deep theoretical and practical experience in Reinforcement Learning (e.g., policy gradient methods, value-based methods, model-based RL, credit assignment).
• Experience developing and training large generative models (LLMs).
• Strong track record of academic publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI).
• Familiarity with research on game theory, multi-agent systems, or learning from human feedback (RLHF/RLAIF).
• Experience building or using user simulators for RL training.

The US base salary range for this full-time position is between $166,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.