Multi-Modal Foundation Encoder Intern

New

Skills

3D Object Detection Adverse Weather Sensing Computer Vision LiDAR Processing Machine Learning Multi-Modal Fusion Natural Language Processing Occupancy Segmentation Radar Data Analysis Tracking Algorithms

We are seeking a PhD Research Intern to lead the development of a multi-modal temporal foundation encoder that enhances 3D object detection, tracking, and occupancy segmentation. The intern will work on fusing vision, LiDAR, Radar, and language data for joint representations to improve perception in adverse weather conditions and long-range sensing.

Key Responsibilities
  • Lead the development of a multi-modal temporal foundation encoder.
  • Enable 3D object detection, tracking, and occupancy segmentation.
  • Collaborate with Zoox researchers to drive innovative solutions.
  • Contribute to research publications as part of the internship.
  • Work on improving perception capabilities in challenging scenarios.
Required Skills & Qualifications
  • Pursuing a PhD or advanced degree in a related field.
  • Excellent academic standing.
  • Prior industry internship, co-op, or relevant project experience.
  • Able to relocate to Bay Area, CA or Boston, MA for the internship duration.
  • Availability for a 12-week internship in Summer 2026.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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