Building a fully autonomous 3PL fulfillment service to power the future of fast, efficient and sustainable commerce.
March 16
🏢 In-office - San Francisco
Building a fully autonomous 3PL fulfillment service to power the future of fast, efficient and sustainable commerce.
• Design, implement and evaluate reinforcement learning models for controlling fleet of robots • Welcome new challenges and work independently across disciplines • Design, implement and evaluate models, agents and software prototypes • Report and present research findings and developments • Suggest and engage in team collaborations to meet ambitious research goals
• Ph.D. in Deep Reinforcement Learning • Experience with multi agent systems preferred • Strong track record of publishing papers and/or deploying real-world applications • Experience with system architecture, design, and development • Relevant experience such as post-doctoral roles and proven track record of publications
• Flexible PTO • Health Insurance • Paid Parental Leave • Commuter Benefits • Gym Reimbursement • Snacks and Drinks • Referral Bonus • 401k • Annual Team Retreat • Equity
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