Member of Technical Staff - ML Research, Planning

- Strong grasp of machine learning fundamentals, with depth in at least one relevant area (e.g. reinforcement learning, planning and control, decision-making under uncertainty, model-based RL, post-training of large models)

- Experience training models and the ability to understand experimental results through careful analysis and ablation studies

- Familiarity with the challenges of reasoning, planning, or acting with learned models

- A track record of turning open-ended research problems into working systems