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Staff ML Engineer, Foundation Models

Woven

$161,000 - $264,500
Nov 19, 2025
Palo Alto, CA, United States of America
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Woven by Toyota is enabling Toyota’s transformation into a mobility company by developing foundation models for their autonomy stack to improve mobility for everyone with self-driving technology, aiming for a world with zero accidents and enhanced well-being for all.

Requirements

  • 8+ years of experience with ML frameworks such as PyTorch or Tensorflow
  • 6+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
  • Prior proven experience in training and deploying state-of-the-art large foundation models leveraging large-scale data
  • Strong programming skills in Python and C++
  • Experience in production-level software development best practices.
  • Hands on experience with building a perception stack for autonomous systems
  • Experience in runtime optimization for Linux and UNIX-like real-time operating systems

Responsibilities

  • Lead the roadmap, research, development, and deployment of foundation models / VLAs / world models for our autonomy stack that will be applied to a variety of online and offline applications
  • Discover new ways to leverage heterogeneous in-house data at Toyota scale
  • Architect and implement scalable & efficient ML pipelines for training and fine-tuning large multi-modal, multi-task models
  • Design experiments and benchmarks to evaluate foundation models for autonomy scenarios
  • Optimize models for speed, accuracy, and robustness under diverse environmental conditions
  • Translate cutting-edge research into useful production-ready solutions
  • Enable and help other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design

Other

  • M.Sc. or higher degree in CS/CE/EE, or equivalent industry experience.
  • Passionate about advancing self driving technology for the mass market
  • Strong communication skills and ability to communicate concepts clearly and precisely
  • Work in a high-velocity environment and employ agile development practices
  • Team player and “get things done” mentality