Machine Learning Engineer (Depot Automation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Engineer (Depot Automation): driving the next generation of operational efficiency for 's rapidly expanding autonomous fleet using advanced robotics with an accent on generalizing complex depot operations such as exterior cleaning, sensor calibration, charging, interior cleaning, vehicle inspection, and routine maintenance. Focus on leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale.
Hybrid work schedule in Mountain View, California
Salary Range $175,000—$215,000 USD
Company
Autonomous driving technology company building the Driver for fully autonomous ride-hail service and various vehicle platforms.
What you will do
- Drive operational efficiency for the expanding autonomous fleet
- Accomplish complex depot operations using advanced robotics
- Focus on tasks like charging, interior/exterior cleaning, vehicle inspection, and maintenance
- Leverage foundation models, reinforcement learning, and simulation
- Integrate ML models into production at scale
- Interface with operations teams to translate real-world needs into solutions
Requirements
- 3+ years of experience in training and evaluating large machine learning models
- 3+ years of experience with robotics, preferably industrial robotics
- Expertise in reinforcement learning and its applications to real-world problems
Nice to have
- PhD in Machine Learning, Robotics, or related field or equivalent experience
- Experience applying ML techniques to large-scale industrial problems
- Background collaborating with research partners on ML for industry-scale problems
Culture & Benefits
- Discretionary annual bonus program
- Equity incentive plan
- Generous company benefits program
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