Engineering Team Lead, Enterprise AI ML Training Team

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

TEAM

Enterprise AI is a platform that provides end-to-end machine learning tooling experience to support and accelerate machine learning development, including autonomous driving and other related projects. Our platform serves customers as a standardized machine learning platform within Woven by Toyota as the larger Toyota Group companies.

The Enterprise AI ML Training team is dedicated to developing and optimizing Machine Learning Models  and training environments. They focus on creating scalable solutions for various Machine Learning tasks, including large-scale simulations and deep learning projects. The Team collaborates closely with other Enterprise AI teams to ensure seamless integration and support for Machine Learning development across Woven, the Toyota Group and related companies.

WHO ARE WE LOOKING FOR?

As the team lead of the Enterprise AI ML Training teamyou will be leading the development of and optimization of our Machine Learning models and training environments.

As a member of our Enterprise AI ML Training team, you will have the opportunity to create and nurture a team and culture that directly contributes to the health and success of our product. You will have knowledge of ML model Training, processes and best practices and work closely with our other engineering teams to continuously improve our products and services.

• Lead engineers and foster a collaborative and innovative environment.
• Collaborate with cross-functional teams regarding project goals and deliverables.
• Work with product stakeholders to break down high-level issues into implementation plans.
• Manage and optimize GPU resources to provide an efficient training environment.
• Take part in user support and helping our customers use the platform.

• 8 years of experience in software engineering, with at least 2 years in a leadership role.
• Experience managing and shipping production software for external clients or customers.
• Experience in developing and maintaining back-end services and complex infrastructure at scale.
• Experience with Golang development (especially for cloud services)
• Experience with production management by Kubernetes and containers (Docker).
• Knowledge of GPU optimization and management.

• Experience working with Japanese customers or clients.
• Experience in the automotive industry or knowledge of automotive software development (e.g., ASPICE, V-model).
• Experience working in environments with a focus on security and safety.
• English/Japanese bilingual ability

For California: 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.

Salary : $140,000 - $230,000