Senior Machine Learning Engineer

🚗 Woven by Toyota: Senior Machine Learning Engineer - Autolabeling

At Woven by Toyota, we're on a mission to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology, and Toyota Woven City, we're bringing greater freedom, safety, and happiness to people and society.

Team

We work on a diverse set of problems, from solving optimization problems in 3D geometric computer vision to minimizing latency on hardware accelerators, designing novel neural network architectures, and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning. We're looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial use.

Who We're Looking For

The Autolabeling team seeks a Senior Machine Learning Engineer to develop a state-of-the-art autolabeling system for autonomous driving. You'll be responsible for designing and developing new ML models for our offboard automatic labeling systems and deploying them to label the data necessary for developing our next-generation autonomous vehicle platform. Ultimately, your work will contribute to millions of Toyota production vehicles.

Responsibilities

• Perform Perception, Computer Vision, Graph, or Large Language ML model R&D by prototyping, validating, and iterating on existing and new model architectures.
• Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine-tuning based on metrics and on-road performance.
• Influence the overall autolabeling stack architecture and technical direction.
• Coach and mentor junior team members to write high-quality code, provide high-quality design and code reviews, and deliver rigorous reports from ML experiments.
• Work in a high-velocity environment and employ agile development practices.
• Collaborate with stakeholders in downstream customer teams to define interfaces and requirements for the Autolabeling stack and deliver high-quality and high-impact products to customers.

Experience

• MS or higher degree in CS/CE/EE or equivalent industry experience.
• Extensive experience with ML model development.
• Experience with ML frameworks such as PyTorch, Tensorflow.
• Experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
• Strong programming skills in Python or C++.
• Passionate about self-driving car technology and its potential for humanity.

Compensation

For California: The base pay for this position ranges from $140,000 to$230,000 per year.

Your base salary is 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 depend on the individual's skills, experience, qualifications, location, and level.

What We Offer

We're committed to creating a modern work environment that supports our employees and their loved ones. We offer many of the best programs to allow you to do your most meaningful work and 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.