Staff Machine Learning & Computer Vision Engineer
DandyFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary ranges from $173,000 to $278,000. Compensation also includes Amazon RSUs, Zoox Stock Appreciation Rights, and may include a sign-on bonus, varying by location, knowledge, skills, and experience.
Zoox offers a comprehensive benefits package including paid time off (sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
Required qualifications include a Master's degree or PhD in computer science or related field, fluency in C++, experience with modern computer vision techniques, extensive experience with programming and algorithm design, ability to create functional realtime systems for perception tasks, experience handling large data sets efficiently, and strong mathematical skills with probabilistic techniques.
This information is not specified in the job description.
Strong candidates have a Master's or PhD, C++ fluency, computer vision experience, and skills in real-time perception systems; bonus points for publications in top conferences like CVPR/ICCV, autonomous robots experience, realtime sensor fusion, novel CNN architectures, and 3D data handling. You don't need to match every expectation to apply, as diverse perspectives are valued.
Develops autonomous electric ride-hailing vehicles
Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.