Skip to main content

Woven by Toyota

Machine Learning Engineer, Vehicle Perception

  • Confirmed live in the last 24 hours
  • $112k–$184k
  • Mid level
  • Employee
  • Hybrid · Palo Alto, CA
  • 3+ yrs exp
  • Added 2 months ago

About this role

Woven by Toyota is seeking a Machine Learning Engineer to develop advanced perception foundation models for their autonomous vehicle platform. This role will involve designing, implementing, and deploying scalable ML models, collaborating with various teams, and contributing to the development of end-to-end ML pipelines. The ideal candidate possesses a strong background in machine learning, computer vision, and a passion for revolutionizing mobility.

What you'll do

  • Design and develop perception foundation models using diverse sensor data.
  • Deploy scalable and efficient ML models on the autonomous vehicle platform.
  • Contribute to ML training and deployment pipelines, from data strategy to validation.
  • Collaborate with Perception, Motion Planning, and other teams.
  • Apply agile development practices in a fast-paced environment.
  • Integrate modern technologies while adhering to rigorous safety standards.

What they're looking for

  • Machine Learning
  • Computer Vision
  • Deep Learning (PyTorch)
  • Python
  • Sensor Fusion
  • Autonomous Vehicles
  • Data Pipeline Architecture

Benefits

  • Short-term and long-term incentives
  • Modern work environment
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Woven by Toyota

Woven by Toyota develops software-defined vehicle platforms and AI solutions, with a focus on autonomous driving systems and secure, human-centric mobility technology. The company is hiring Systems Engineers and Software Engineers to architect platforms, design software systems, and build sensor calibration tools for next-generation vehicles.

Industry
Automotive
View all jobs at Woven by Toyota

Likely interview questions

  • Describe your experience with foundation models and self-supervised learning approaches.
  • Walk me through your experience deploying ML models at scale, particularly in a resource-constrained environment.