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Open nowPosted 50 days ago

Senior Machine Learning Engineer, Vehicle Perception

woven-by-toyota142 open roles

Where
Palo Alto, CA
Work mode
Hybrid
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Your applicationOpen nowSenior Machine Learning Engineer, Vehicle Perceptionwoven-by-toyota · Palo Alto, CA

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This job: posted 50 days ago

The posting

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM

WHO ARE WE LOOKING FOR?

RESPONSIBILITIES

  • Senior Lead the design and development of perception foundation models for autonomous vehicles, unifying diverse sensor data for scalable 3D scene understanding.
  • Deploy scalable and efficient ML models on our autonomous vehicle platform.
  • Integrate modern technologies with rigorous safety standards while maintaining cost efficiency.
  • Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation.
  • Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions
  • Work in a high-velocity environment and employ agile development practices.
  • Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions.
  • Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week.

MINIMUM QUALIFICATIONS

  • MS or PhD in Machine Learning, Computer Vision, Robotics or related quantitative fields, or equivalent industry experience.
  • 3+ years of experience with Python, any major deep learning framework (PyTorch preferred), and software engineering best practices
  • 3+ years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning.
  • 3+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
  • Experience working with large-scale foundation models, including pretraining, multimodal architectures, self-supervised learning approaches.
  • Deep understanding of runtime complexity, distributed/cloud ML infrastructure, data pipeline architecture,resource-aware optimization.
  • Comfortable in writing C++ code to help integrate with our autonomous vehicle platform.
  • Strong leadership skills to influence others and the team's technical strategy.
  • Strong communication skills with the ability to communicate concepts clearly and precisely.

NICE TO HAVES

  • Published research at top-tier conferences (NeurIPs, CVPR and similar).
  • Proven track record of deploying ML models at scale in self-driving or related fields.
  • Experience with offboard, auto-labeling, or "data-engine" pipelines, including mining, curation, active learning, and ground-truth-free evaluation for large-scale datasets.
  • Hands-on experience with vision-language models (VLMs), world models, video prediction, or latent dynamics models for autonomous systems or robotics.
  • Experience leveraging foundation models across multiple platforms and sensor setups, including distilling larger models into efficient real-time variants.
  • Familiarity with production-level coding and deployment onto embedded platforms, optimizing for latency and hardware constraints.
  • Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation).

The base pay for this position ranges from $140,000 - $230,000 a year.

Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

WHAT WE OFFER

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.

・Excellent health, wellness, dental and vision coverage

・A rewarding 401k program

・Flexible vacation policy

・Family planning and care benefits

Our Commitment

・We are an equal opportunity employer and value diversity.

・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

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