Woven Planet is hiring a

Senior MLOps Engineer, Arene AI - ML Core

Full-Time
Woven Planet is building mobility for a safer, happier and sustainable world. A subsidiary of Toyota, Woven Planet innovates and invests in new technologies, software, and business models that transform how we live, work and move. With a focus on automated driving, smart cities, robotics and more, we build on Toyota's legacy of trust and safety to deliver mobility solutions for all. 

For nearly a century, Toyota has been delivering products and services that improve lives. Automation that originated to increase the efficiency of daily activities has evolved into the safe, reliable, connected automobiles we enjoy and depend on today. Now, we are looking to the next 100 years and to extending that dream for a better life for all people from cars to smart cities. 

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. The complementary strengths enable us to optimize safety, advance clean energy and elevate well-being.  We envision a human-centered future where world-class technology solutions expand global access to mobility, amplify the capabilities of drivers, and empower humanity to thrive.

TEAM
Arene AI is on a mission to simplify vehicle software development and increase developer agility by creating tools and processes which enable novel uses of vehicles without compromising safety. Arene AI is a function that supports Arene, by building a new and exciting machine learning platform for all. As a member, you will have the opportunity to work with business partners, leadership and other passionate engineers, throughout Woven Planet, the Toyota Group and many vendors. We are agile using best practices in all developer disciplines to deliver the best in quality and value.

WHO ARE WE LOOKING FOR?
As a Senior MLOps Engineer in the Machine Learning (ML) Core team, you will work alongside research scientists and engineers not only within Woven Planet but throughout the Toyota Group and its vendors. You will be responsible for designing and implementing ML operations and workflows for building production vehicles. We are looking for engineers who are passionate about building tools and frameworks to enable cutting-edge ML solutions for real-world autonomous driving problems.

RESPONSIBILITIES

  • Design and implement ML tools and workflows for the ML ecosystem of production vehicles.
  • Build ML software development kit for Arene AI from the cloud to edge devices.
  • Work closely with team mates to establish and improve developments according to the ISO standards.
  • Collaborate with other engineers and scientists to develop high-performance frameworks and tools
  • Design, communicate, and build new features to meet the needs of customers both inside and outside of Woven Planet

MINIMUM QUALIFICATIONS

  • 5+ years ML experience in ML operations and workflows development of robust and scalable ML products or tools
  • Strong Python skills with strong ability to write high quality, unit-testable code
  • Strong experience with kubernetes in production and container technologies
  • Strong communication skills, team player and a good listener as well as customer focus with a “Can-Do” attitude
  • Experience with SCM tools and processes: Git, Continuous Integration, Code Reviews

PREFERRED QUALIFICATIONS

  • Experience with cloud tools and processes: AWS, GCP
  • Experienced to build ML ecosystems and CI/CD pipelines
  • Knowledges of best practices for scalability, reliability and security
  • Understanding of DevOps best practices
  • Experience in contributing to or maintaining open-source especially in machine learning software is a plus

If you are currently located outside of Japan we will set an interview over Google Hangout Meet or Skype.

WHAT WE OFFER
・Competitive Salary - Based on skills and experience
・Work Hours - Flexible working time with NO core-hours
・Paid Holiday - 20 days per year (prorated)
・Sick Leave - 6 days per year (prorated)
・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by the company
・Japanese Social Security - all applicable (Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance)
・In-house Training Program (software study/language study)

By submitting your application you agree to the following terms:

[OUR COMMITMENT]
・We are an equal opportunity employer and value diversity.
・We pledge that any information we receive from candidates will be used ONLY for the purpose of hiring assessment.

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