Senior Machine Learning Engineer, Autolabeling

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.
TeamAt Woven by Toyota, we work on a diverse set of problems ranging from solving optimization problems in 3D geometric computer vision, to minimizing latency on hardware accelerators, designing novel neural network architectures and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning. We are 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 are we looking for?The Autolabeling team is looking for a Senior Machine Learning engineer to develop a state-of-the-art autolabeling system for autonomous driving. As a Machine Learning engineer in the Autolabeling team you will be responsible for designing and developing new Machine Learning models for our offboard automatic labeling systems, and deploying the models to label at scale the data necessary for the development of our next-generation autonomous vehicle platform and ultimately 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 members of the team 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 the customers

Experience:

• MS, or higher degree, in CS/CE/EE, or equivalent in 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

For positions based in Palo Alto, CA, 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 OFFERWe 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.