Woven by Toyota · 1 week ago
Machine Learning Engineer, Vehicle Perception (Internship)
Palo Alto, CA
Internship
Hybrid
Intern
$30/hr - $55/hrWoven by Toyota is enabling Toyota’s transformation into a mobility company, focusing on human-centric innovation in mobility. The Perception team is seeking a Machine Learning Engineer intern to work on state-of-the-art perception systems for autonomous driving, providing hands-on experience and research opportunities in the field.
AutomotiveAutonomous VehiclesSoftware
Responsibilities
Perception ML model R&D by prototyping, validating and iterating on existing and new model architectures
Own development of a new model functionality end-to-end. This means initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance
Team player and 'get things done' mentality
Produce a final report and present to the the autonomy team
Collaborate closely with other Perception team members as well as with upstream and downstream customer teams
Qualification
Required
Currently pursuing a Masters or PhD degree with research focus in: Computer Vision, Robotics, Deep Learning
Strong programming skills in Python and ML development with PyTorch
Proven ability to develop ML models
Extensive experience in deep learning
Strong communication skills and ability to communicate concepts clearly and precisely
Passionate about self driving car technology and its potential for humanity
Company
Woven by Toyota
Woven by Toyota improve the vehicle intelligence software and operation and accelerate the Toyota Mobility Concept.
Founded in 2023
1001-5000 employees
H1B Sponsorship
Woven by Toyota has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (71)
2024 (34)
2023 (15)
Funding
Current Stage
Late StageLeadership Team
John Absmeier
Chief Technology Officer
Edwin Han
Senior Partnerships Manager
Recent News
2025-10-02
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