March 16
🔄 Hybrid – Bay Area
• Design machine learning algorithms and implement them in robust, efficient, and well-tested C++ and/or Python code • Lead the development of deep neural networks for robotics challenges • Work with various sensor data for ML training • Set up automated training pipelines and data analytics tools • Collaborate with other experts on the team
• Strong technical background. BS, MS or PhD with academic or at least 4-5 years industry experience in designing and implementing deep neural networks • Skilled in C++ and problem-solving • Passionate about real-world robotics problems • Knowledge of data processing pipelines for ML models • Team player with ability to build and iterate quickly • Hands-on experience with ML research and production pipelines • Great communicator with clear documentation skills
• Competitive compensation package including equity and biannual bonuses • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits) • Flexible PTO and generous parental leave policies • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging • Long Term Disability, Short Term Disability, Life Insurance • Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health • Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA • Various incentive programs (referral bonuses, patent bonuses, etc.)
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