Woven by Toyota
Senior Software Engineer, Enterprise AI - ML Training
Woven by Toyota, Ann Arbor, Michigan, us, 48113
Overview
Woven by Toyota is enabling Toyotas transformation into a mobility company. 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, Arene, Woven City, and Cloud & AI. Business-critical functions empower these teams to execute, and we are working toward a world with zero accidents and enhanced well-being for all. Team
Enterprise AI provides end-to-end machine learning tooling to support and accelerate machine learning development, including autonomous driving and related projects. Our platform serves customers as a standardized ML platform within Woven by Toyota and the larger Toyota Group companies. The Enterprise AI ML Training team develops and optimizes Machine Learning Models and training environments, focusing on scalable solutions for tasks including large?scale simulations and deep learning projects. The team collaborates with other Enterprise AI teams to ensure seamless integration and support for ML 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 are passionate about building efficient tools and frameworks to support workloads of Enterprise AI and enable cutting-edge solutions for the machine learning model development lifecycle. This is a hybrid role requiring onsite presence 3 days per week, where you will report to an Engineering Manager. Responsibilities
Define architecture and plans 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 the machine learning model development lifecycle Work closely with teammates to establish and improve development standards; implement CI/CD best practices for our services Analyze and monitor our services; respond to incidents and take on-call for systems in production Minimum Qualifications
Bachelor's degree in computer science, AI/ML, or related field, with 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 Have
Experience with databases and blob storage Familiarity with Kubeflow or Flyte Production system management, monitoring, and analysis Understanding of the machine learning development life cycle Working knowledge of cloud infrastructure (e.g., AWS, GCP) Compensation and Benefits
For positions based in Palo Alto, CA, the base pay ranges from $140,000 to $230,000 per year. Your base salary is one part of total compensation. We offer a base salary, short-term and long-term incentives, and a comprehensive benefits package. Total compensation depends on 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 programs to enable you to do meaningful work and 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. #J-18808-Ljbffr
Woven by Toyota is enabling Toyotas transformation into a mobility company. 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, Arene, Woven City, and Cloud & AI. Business-critical functions empower these teams to execute, and we are working toward a world with zero accidents and enhanced well-being for all. Team
Enterprise AI provides end-to-end machine learning tooling to support and accelerate machine learning development, including autonomous driving and related projects. Our platform serves customers as a standardized ML platform within Woven by Toyota and the larger Toyota Group companies. The Enterprise AI ML Training team develops and optimizes Machine Learning Models and training environments, focusing on scalable solutions for tasks including large?scale simulations and deep learning projects. The team collaborates with other Enterprise AI teams to ensure seamless integration and support for ML 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 are passionate about building efficient tools and frameworks to support workloads of Enterprise AI and enable cutting-edge solutions for the machine learning model development lifecycle. This is a hybrid role requiring onsite presence 3 days per week, where you will report to an Engineering Manager. Responsibilities
Define architecture and plans 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 the machine learning model development lifecycle Work closely with teammates to establish and improve development standards; implement CI/CD best practices for our services Analyze and monitor our services; respond to incidents and take on-call for systems in production Minimum Qualifications
Bachelor's degree in computer science, AI/ML, or related field, with 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 Have
Experience with databases and blob storage Familiarity with Kubeflow or Flyte Production system management, monitoring, and analysis Understanding of the machine learning development life cycle Working knowledge of cloud infrastructure (e.g., AWS, GCP) Compensation and Benefits
For positions based in Palo Alto, CA, the base pay ranges from $140,000 to $230,000 per year. Your base salary is one part of total compensation. We offer a base salary, short-term and long-term incentives, and a comprehensive benefits package. Total compensation depends on 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 programs to enable you to do meaningful work and 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. #J-18808-Ljbffr