As an Autonomous Vehicle Perception Intern, you will play a crucial role in the design and implementation of computer vision and machine learning algorithms that integrate data from various sensor types to enhance the perception and prediction capabilities of autonomous vehicles in challenging urban and highway environments. This internship provides an exciting opportunity to work alongside experts in the field and gain valuable experience in modern autonomous driving perception techniques.
The candidate will have the opportunity to:
1. Collaborate with our team of engineers to develop and implement state-of-the-art computer vision and machine learning algorithms tailored for autonomous vehicle perception.
2. Work with sensor data from various sources, such as LiDAR, radar, and camera, to create robust models that improve the vehicle's ability to perceive and predict its surroundings.
3. Contribute to the development and enhancement of a product-ready code base, ensuring that code is scalable, maintainable, and meets high-quality standards.
Compensation
The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.