3 days ago

Machine Learning Engineer, MaaS Motion Planning

machine learning robot AGI Pytorch python

About Woven by Toyota

Woven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all.

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TEAM

Our team's mission is to realize Woven's vision of "Mobility for All" by developing autonomous vehicles that can operate without human involvement. We specifically focus on Mobility as a Service (MaaS) applications. MaaS offers the advantage of increased vehicle usage time through ridesharing, allowing us to equip vehicles with advanced sensors and computers necessary for achieving reliable driverless operations. We change people's lives with our driverless vehicles. While working towards our mission we aim to build a diverse team of curious and dedicated individuals with different experiences.

WHO ARE WE LOOKING FOR?

We are looking for engineers who are passionate about making driverless vehicles come true and are excited to work with us to create a better future for mobility. Our day to day tasks include developing automated driving software, evaluating it with simulation and real vehicles, and making further improvements from real world feedback. Skills in modern software development and solid experiences in developing real time systems are the essential prerequisites to tackle this challenge.

RESPONSIBILITIES

Build robust machine learning based motion planning capabilities for driverless vehicles in urban environments while working alongside teammates with diverse expertise

With a deep understanding of our software stack, develop tools, algorithms, and evaluation mechanisms to solve real-world motion planning challenges tailored for MaaS applications

Live and breath software development best practices that produce maintainable code including automated testing, continuous integration, code style conformity, and code review

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MINIMUM QUALIFICATIONS

BS in computer science, robotics, or a related field

Proficiency in Python and familiarity with PyTorch or similar frameworks

3+ years of experience in applying machine learning to solve problems and integrating solutions into production systems

Demonstrated ability to evaluate the performance of machine learning models and improve their accuracy and efficiency

Communication skills with the ability to convey concepts clearly and precisely

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NICE TO HAVES

MS/PhD in computer science, robotics, or a related field

Proficiency in C++

Experience applying deep neural networks to solve motion planning challenges within autonomous driving or related robotics fields

Familiarity with agile development methodologies and tools (e.g., JIRA, Confluence)

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Important Points

・All interviews will be arranged via Google Meet, unless otherwise stated.

・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.

・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

WHAT WE OFFER

・Competitive Salary - Based on experience

・Work Hours - Flexible working time

・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 our company

・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance

・Housing Allowance

・Retirement Benefits

・Rental Cars Support

・In-house Training Program (software study/language study)

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.

Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!

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