Machine Learning Engineer, 3D Simulation
- Machine learning
- Other places
- 06/17/2024
- -
The 3D Simulation group at Zoox is on the hunt for talented machine learning engineers to integrate the latest advancements in 3D vision and enhance the diversity and realism of our simulations. You'll have access to top-tier sensor data and cutting-edge infrastructure to test and validate your algorithms. Contribute to our mission of generating rich and varied 3D environments, human simulations, and dynamic environmental conditions.
As a Machine Learning Engineer in 3D Simulation, you will:
Ideal candidates will have the following qualifications:
Additional bonuses include:
Our compensation package includes three main components: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The annual salary ranges from $141,000 to $234,000, with the potential for a sign-on bonus. Compensation varies based on geographic location, and job-related knowledge, skills, and experience.
Zoox offers a comprehensive benefits package that includes paid time off (vacation, sick leave, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, and long-term and short-term disability insurance, and life insurance.
Zoox is pioneering the development of the first ground-up, fully autonomous vehicle fleet and the ecosystem required to bring this technology to market. At the crossroads of robotics, machine learning, and design, Zoox strives to deliver the next generation of mobility-as-a-service in urban environments. We seek top talent who shares our passion and wants to join a fast-moving, results-driven team.
Follow us on
If you require accommodation to participate in the application or interview process, please contact us at [email protected] or reach out to your assigned recruiter.
Don't hesitate to apply if you don't meet every single requirement. At Zoox, we believe diverse perspectives drive the innovation we need to succeed, and we are committed to building a team with a variety of backgrounds, experiences, and skills.