ML Platform Engineer, AD/ADAS

Reposted 16 Days Ago
Be an Early Applicant
Tokyo
Hybrid
Senior level
Automotive • Software • Automation
The Role
The ML Platform Engineer will design and support ML systems for autonomous driving, focusing on optimizing ML engineering efforts and collaboration with teams.
Summary Generated by Built In
About Woven by Toyota
Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, 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.

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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, 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 Software Engineer or Machine Learning Engineer to join the Machine Learning Platform team, and work in close collaboration with and/or embedded in our ML teams to accelerate and scale up our overall ML engineering activities, enabling shipping Perception, Prediction and Planning ML models and our AD/ADAS stack to millions of Toyota customer vehicles. 

We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity, and able to leverage cutting-edge technologies to solve real-world problems while also considering ML engineers’ productivity and cost efficiency. We are looking for individuals who exhibit a "giver" mindset, consistently seeking opportunities to assist their colleagues while maintaining a strong focus on delivering solutions to production.

RESPONSIBILITIES

  • Design, build, maintain, optimize and support the ML Platform’s systems and tools for perception, prediction, and planner development, allowing numerous ML engineers to effectively & efficiently iterate on dataset curation, ML modeling, training, evaluation and deployment of ML models into our functionally safe AD/ADAS stack, shipped in millions of Toyota vehicles
  • Develop user-friendly tooling, frameworks and libraries to support the overall ML engineering effort, from ML modeling, to tracking performance metrics and introspecting failure modes
  • Build and maintain efficient data curation, cloud training and evaluation pipelines
  • Develop and review code with other ML and ML Platform engineers to facilitate rapid incremental improvements
  • Optimize the current processes, tooling and supporting infrastructure to accelerate the overall ML engineering effort, and contribute to the long term strategy for several of our systems and products
  • Work in a high-velocity environment and employ agile development practices
  • Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan) office 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
  • 5+ years of experience with data structures, algorithms, design patterns, and software engineering best practices
  • 2+ years of experience with UNIX-based systems (Linux or similar), Python, and PyTorch/Tensorflow
  • 2+ years of experience in the full MLOps cycle covering data cleansing, data sampling, data curation, pre-processing, training, testing, evaluation, deployment, inference optimization and deployment in the cloud and on edge compute platforms
  • Experience with Docker and CI systems such as GitHub Actions
  • Business-level proficiency in English, able to write  technical documents (e.g. for software documentation)

NICE TO HAVES

  • 2+ years of experience with Apache Spark, Airflow, Flyte, Flink, Ray, or similar ML pipelines technologies
  • 2+ years using modern systems programming languages (e.g., Rust and/or C++) and a modern build system (preferably Bazel), and systems-level debugging knowledge, in a professional environment
  • Experience with SIMD/SIMT parallelism, GPU programming, multithreading
  • Experience with Terraform, AWS, Observability, and Kubernetes in production
  • Experience with Google Big Query, Snowflake or AWS Redshift in production
  • Experience in optimizing deep-learning models towards specific hardware targets
  • Experience in self-driving, robotics, computer vision, or motion planning
  • Experience working in a fast-paced environment, collaborating across teams and disciplines
  • Business-level proficiency in Japanese

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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.

Top Skills

Airflow
Spark
AWS
Aws Redshift
Bazel
C++
Docker
Flink
Flyte
Github Actions
Google Big Query
Kubernetes
Python
PyTorch
Ray
Rust
Snowflake
TensorFlow
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The Company
Palo Alto, , California
1,679 Employees
Year Founded: 2023

What We Do

Woven by Toyota will help to deliver the safest, most intelligent mobility experiences and lifestyle for Toyota customers everywhere. At Woven by Toyota, we envision a human-centered future, where world-class technology expands global access to mobility, enhances the capabilities of drivers, and empowers people to thrive. We achieve this with a unique global culture that weaves modern Silicon Valley innovation with Japanese quality craftsmanship. As society, technology and customer needs evolve, we continuously pursue new ways to create a more personal, seamless experience for customers.

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