Senior Machine Learning Engineer, Autonomy

4 days ago

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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

At Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.

WHO ARE WE LOOKING FOR?

The team is looking for a skilled Machine Learning Engineer to help advance a cutting-edge machine learning system for perception, prediction, and motion planning in autonomous driving. You will have the chance to design and implement innovative machine learning models for our next-generation autonomous vehicle platform, influencing millions of Toyota production vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity.

RESPONSIBILITIES

Design and develop advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning and large-scale data analysis

Deploy scalable and efficient ML models on our autonomous vehicle platform

Integrate modern technologies with rigorous safety standards while maintaining cost efficiency

Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation

Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions

Work in a high-velocity environment and employ agile development practices

Exhibit a "Giver" mindset, proactively asking, “What can I do for you?” to facilitate production development processes while maintaining a "get things done" mentality

Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions

Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week

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MINIMUM QUALIFICATIONS

MS or PhD in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience

3+ years of experience with Python, any major deep learning framework, and software engineering best practices

Comfortable in writing C++ code to help integrate with our autonomous vehicle platform

2+ years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning

2+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization

Strong communication skills with the ability to communicate concepts clearly and precisely

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NICE TO HAVES

Published research at top-tier conferences (NeurIPs, CVPR and similar)

Proven track record of deploying ML models at scale in self-driving or related fields

Familiarity with production-level coding in time-limited task schedules

Experience with computer vision (e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping)

Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control)

Experience with temporal data and/or sequential modeling

Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation)

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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