2027 Summer Intern, PhD, Research, AV Planning

📋 Description Design, implement, and benchmark a system where LLM meta-agents generate, synthesize, and Diagnose policy failure modes, reward exploitation, and multi-objective trade-offs, integrating Collaborate with scientists and engineers to transfer validated reward formulations and tooling Document research outcomes, distill key design patterns, and prepare findings for internal tech 🎯 Requirements Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative Strong hands-on experience in Reinforcement Learning (RL / RLFT) and training deep learning Demonstrated proficiency in Python and modern ML engineering practices Familiarity with autonomous vehicle planning, trajectory optimization, or sequential 🎁 Benefits Opportunity to partner with leaders in the industry on impactful projects Opportunities to expand your skill-set Participation in the Company's generous benefits programs, subject to eligibility requirements Competitive hourly pay