Staff ML Platform Engineer, AD/ADAS at Woven by Toyota | Tokyo | Rezi

Staff ML Platform Engineer, AD/ADAS at Woven by Toyota

Staff ML Platform Engineer, AD/ADAS

Woven by Toyota · Tokyo

2 weeks ago

Staff ML Platform Engineer, AD/ADAS

Woven by Toyota · Tokyo

21 days ago
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About the Role

Woven by Toyota is enabling Toyota’s transformation into a mobility company by challenging the current state of mobility through human-centric innovation. Our work centers on AD/ADAS, Arene, Woven City, and Cloud & AI, aiming for a world with zero accidents and enhanced well-being for all.

Responsibilities

  • Design, build, maintain, optimize, and support ML Platform systems and tools for perception, prediction, and planner development.
  • Develop user-friendly tooling, frameworks, and libraries to support the overall ML engineering effort.
  • Build and maintain efficient dataset generation, cloud training, and evaluation pipelines.
  • Develop and review code with other ML and ML Platform engineers.
  • Optimize current processes, tooling, and supporting infrastructure.
  • Work in a high-velocity environment and employ agile development practices.
  • Work cross-functionally to align on target architecture and optimize processes globally.
  • Drive best engineering practices across the organization.

Requirements

  • BSc/BEng (MS/PhD nice-to-have) in Machine Learning, Computer Science, Robotics, or related quantitative fields, or equivalent industry experience.
  • 10+ years of experience with data structures, algorithms, design patterns, and software engineering best practices.
  • 4+ years of experience with UNIX-based systems (Linux or similar), Python, and PyTorch/Tensorflow.
  • 4+ years of experience in the full MLOps cycle covering data cleansing, data sampling, data curation, pre-processing, efficient data loading, distributed training, testing, evaluation, deployment, inference optimization, and deployment in the cloud and on edge compute platforms.
  • Experience with scaling ML training and fixing typical issues found at large scale.
  • Experience with Docker and CI systems such as GitHub Actions.
  • Business-level proficiency in English, able to write technical documents.

Skills

  • Machine Learning
  • Computer Science
  • Robotics
  • UNIX-based systems
  • Python
  • PyTorch
  • Tensorflow
  • MLOps
  • Docker
  • CI systems
  • GitHub Actions
  • Apache Spark
  • Airflow
  • Flyte
  • Flink
  • Ray
  • Rust
  • C++
  • Bazel
  • SIMD/SIMT parallelism
  • GPU programming
  • Multithreading
  • Terraform
  • AWS
  • Observability
  • Kubernetes
  • Google Big Query
  • Snowflake
  • AWS Redshift
  • Self-driving
  • Computer vision
  • Motion planning
  • Japanese

Location

  • Nihonbashi, Japan

Work Type

  • Hybrid

Experience Level

  • 10+ years of experience
  • 4+ years of experience

Education Level

  • BSc / BEng
  • MS / PhD

Salary/Compensations

  • Competitive Salary - Based on experience

Benefits

  • Flexible working time
  • 20 days paid holiday per year (prorated)
  • 6 days sick leave per year (prorated)
  • Sat & Sun, Japanese National Holidays, and other company-defined holidays
  • Japanese Social Insurance (Health Insurance, Pension, Workers’ Comp, Unemployment Insurance, Long-term care insurance)
  • Housing Allowance
  • Retirement Benefits
  • Rental Cars Support
  • In-house Training Program (software study/language study)

About the Company

  • 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.

Equal Opportunity

  • 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.