Offline Perception Internship/Co-op

15 Hours ago • Upto 1 Years

About the job

Summary_{By Outscal}

The position involves designing and implementing advanced machine learning algorithms, with a focus on multimodal large language models and their application to autonomous driving. The candidate will have the opportunity to work closely with and contribute to a team developing state-of-the-art models for a fleet of fully autonomous vehicles operating in complex dense urban environments.

Technical Qualifications & Language Requirements

Working towards a graduate degree in computer science, statistics, or related field
Experience with Python
Experience with ML frameworks (PyTorch)

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 accommodations@zoox.com 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.

Compensation

About Zoox

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note: