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