April 3
🏢 In-office - Bay Area
• Work on scalable machine learning based planning and prediction systems • Research generative sequence modeling and sequential decision making • Mitigate uncertainties accumulated through interconnected autonomy components • Collaborate across autonomy teams to solve top autonomy challenges • Deploy practical solutions on real-world vehicles
• M.Sc. or Ph.D. focusing on Computer Science, AI, Mathematics, or related field • Expertise in sequential decision making, Imitation Learning, Deep Reinforcement Learning, generative modeling, large models • Strong problem solving and programming skills in Python (required) and C++ (beneficial) • Strong culture fit and good team player • Demonstrated research publications in top conferences
• Annual performance bonus • Equity • Competitive benefits package
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