About Woven by ToyotaWoven 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. ========================================================================= TEAMAt 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, 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 work in close collaboration with our ML teams to build efficient cloud and data curation pipelines, automated training, evaluation and release pipelines, as well as providing introspection tools in our data. You will have the chance to design and implement innovative machine learning pipelines, and help accelerate the release of models for our next-generation autonomous vehicle platform, influencing millions of Toyota customer vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity.
RESPONSIBILITIES
Develop foundational ML components to improve speed and ease of development of advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning and large-scale data
Deploy extensible, scalable and efficient ML data curation, training and evaluation cloud pipelines
Analyze model performance metrics, model failure modes, statistical relevance of datasets, etc. to guide the overall ML engineering effort
Integrate modern technologies with rigorous safety standards while maintaining cost efficiency
Significantly contribute to the development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation
Operate cross-functionally and serve a dual hat role in identifying opportunities to improve production models while also trailblazing and generalizing involved methods and toolings to empower others
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
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
MINIMUM QUALIFICATIONS
BSc / BEng (MS / PhD nice-to-have) in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience
3+ years of experience with Python, PyTorch/Tensorflow, and software engineering best practices
2+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
Comfortable in writing C++ code to help integrate with our autonomous vehicle platform
Deep understanding of runtime complexity, space complexity, distributed computing, and the application of these concepts in concrete, distributed ML training and evaluation
Experience working with temporal data and/or sequential modeling
Strong communication skills with the ability to communicate concepts clearly and precisely
NICE TO HAVES
Experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning
2+ years of experience with Apache Spark, Airflow, Flyte, Flink, Ray, or similar ML pipelines technologies
Experience deploying and tuning ML models onto custom edge hardware in robotics applications
Previously worked at, or in close collaboration with ML Research Engineers to deliver a solid software foundation that other ML Engineers can build on
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 in self-driving, robotics, computer vision, or motion planning
=========================================================================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.
