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Woven by Toyota · 1 day ago

Senior Machine Learning Software Engineer, Frameworks

Ann Arbor, MI

Full-time

Hybrid

Mid, Senior Level

$140K/yr - $230K/yr

3+ years exp

Woven by Toyota is enabling Toyota’s transformation into a mobility company through human-centric innovation. They are seeking a skilled Machine Learning Engineer to collaborate with ML teams in building efficient cloud and data curation pipelines, and to design and implement innovative machine learning pipelines for next-generation autonomous vehicles.

AutomotiveAutonomous VehiclesSoftware

H1B Sponsor Likely

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

Qualification

Machine LearningPythonPyTorch/TensorFlowML PipelinesData CurationModel DeploymentDistributed ComputingAgile DevelopmentCommunicationCritical Thinking

Required

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

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

Preferred

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

Benefits

Excellent health, wellness, dental and vision coverage

A rewarding 401k program

Flexible vacation policy

Family planning and care benefits

Company

Woven by Toyota

Woven by Toyota improve the vehicle intelligence software and operation and accelerate the Toyota Mobility Concept.

Founded in 2023

Tokyo, Tokyo, JPN

1001-5000 employees

https://woven.toyota/en

H1B Sponsorship

Woven by Toyota has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2025 (71)

2024 (34)

2023 (15)