Senior Software Engineer, Enterprise AI – ML Training

Job Type: Location Type: On-site

 

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?

We are looking for candidates who are willing to work with a team and passionate about building efficient tools and frameworks to support workloads of Enterprise AI and enable cutting-edge solutions for machine learning model development lifecycle. This is a hybrid role requiring your presence onsite 3 days per week, where you will report to an Engineering Manager.

RESPONSIBILITIES

• Define architecture and its plan to build robust, scalable, distributed systems for Enterprise AI
• Lead implementation of critical systems while maintaining reliability
• Work with other teams to maximize infrastructure usage and build efficient solutions for heavy tasks
• Collaborate with other teams in Woven by Toyota to integrate services in machine learning model development lifecycle
• Work closely with teammates to establish and improve development standardsImplement CI/CD best practices for our services.
• Analyze and monitor our servicesResponding to incidents and taking on-call for systems in production

MINIMUM QUALIFICATIONS

• Bachelor’s degree in computer science or equivalent & 5 or more years of relevant work experience
• Strong experience with Kubernetes in production and container technologies
• Strong experience with event-driven, distributed, and cloud architectures
• Experience with Python, Golang, or related programming languages
• Knowledge of best practices for scalability, reliability, and security
• Understanding of DevOps best practices
• Ability to speak business-level English with a collaborative spirit for effective stakeholder partnerships

NICE TO HAVES

• Experience with databases and blob storage
• Familiarity with Kubeflow or Flyte
• Production system management, monitoring, and analysis
• Understanding of machine learning development life cycle
• Working knowledge of cloud infrastructure (e.g., AWS, GCP)

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.