Zoox is hiring an

Offline Perception Intern

Boston, United States
Internship
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 [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.
Apply for this job

Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!

Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Report this job
Apply for this job