May 1
🏢 In-office - Bay Area
• Work as a member of the Learned Behavior team • Focus on developing and implementing innovative strategies in active learning, deep retrieval, or human-in-the-loop learning • Optimize data utilization, model performance, and decision-making processes for autonomous driving applications
• 1+ years of experience working with machine learning using deep networks and large volumes of data • Strong problem solving and programming skills in C++ and Python • M.Sc. or Ph.D. focusing on Computer Science, Artificial Intelligence, Mathematics, or related field • Demonstrated research publications in major conferences is a bonus
• Base pay is one part of total compensation package • Reasonably expected pay range is between $167,200 and $250,800/year • Position is eligible for an annual performance bonus, equity, and a competitive benefits package
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