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Senior Software Engineer, Enterprise AI - ML Training
Senior Software Engineer, Enterprise AI - ML TrainingWoven by Toyota • Stanford, CA, United States
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Senior Software Engineer, Enterprise AI - ML Training

Senior Software Engineer, Enterprise AI - ML Training

Woven by Toyota • Stanford, CA, United States
2 days ago
Job type
  • Full-time
Job description

Senior Software Engineer, Enterprise AI - ML Training

Woven by Toyota is enabling Toyota's once-in-a-century 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, 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.

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.

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 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, AI / ML, or related & 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)
  • 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.

    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.

    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.

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