• Advanced coding in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
• Deep expertise in large-scale training, reinforcement learning, program synthesis, and neuro-symbolic techniques.
• Strong foundation in higher mathematics (algebra, analysis, combinatorics) and formal proof systems (Lean, Coq, Isabelle).
• Demonstrated research acumen: experiment design, rigorous analysis, and a track record of peer-reviewed publications.
• Exceptional scientific writing and presentation abilities, tailoring complex ideas to diverse audiences.
• Proven collaborator who thrives in interdisciplinary teams with mathematicians, engineers, and product stakeholders.
• Leadership and mentorship strengths—able to inspire, guide, and elevate a high-performance research culture.