Apply on Employer Site

Woven by Toyota · 2 weeks ago

Engineering Manager, ML Platform, Behavior

Palo Alto, CA

Full-time

Hybrid

Mid, Senior Level

$161K/yr - $264K/yr

3+ years exp

Woven by Toyota is enabling Toyota’s transformation into a mobility company through human-centric innovation. They are seeking an experienced Engineering Manager to lead ML Frameworks engineers and develop efficient cloud and data curation pipelines to improve vehicle behavior model training.

AutomotiveAutonomous VehiclesSoftware

H1B Sponsor Likely

Responsibilities

Define the team’s short‑term and long‑term technical direction while collaborating on broader cross‑functional strategic initiatives

Initiate and influence cross‑functional teams toward common development goals to drive innovation

Enable and support your team to be more effective through coaching, leading by example, providing high‑quality code and design‑document reviews, and delivering rigorous reports

Collaborate with team members to design, develop, deploy, and evaluate state‑of‑the‑art pipelines and processes for ML model development, testing, and deployment

Lead the execution of projects by defining efficient engineering processes, mitigating technical risks, and advocating for architectural improvements that enhance system reliability and scalability

Increase speed of the component- and system-level model iteration while maintaining cost efficiency

Drive organizational metrics towards performance, safety, and quality

Design reusable software components as part of an integrated system

Understand and champion software practices that produce maintainable code, including continuous integration, code review, etc

Work in a globally distributed department (US, Japan, London)

Work in a hybrid workspace, with the requirement to be present in our Palo Alto office three days a week

Qualification

Machine LearningMLOpsPythonCloud DeploymentC++PyTorch/TensorFlowData CurationDistributed ComputingPassion for TechnologyJapanese LanguageCommunicationTeam LeadershipCollaboration Skills

Required

BSc / BEng in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience

3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering high-impact projects in the automotive industry

Experience with Python, PyTorch/Tensorflow, and software engineering best practices

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

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

Ability to write code in C++ and python

Ability to lead within a globally distributed department

Excellent communication, skilled collaboration, and principled interactions

Passionate about self-driving car technology and its potential for humanity

Preferred

MS / PhD in Machine Learning, Computer Science, Robotics or related quantitative fields

Experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning

Experience with Apache Spark, Airflow, Flyte, Flink, Ray, or similar ML pipelines technologies

Experience 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 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

Japanese language skills

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)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (71)

2024 (34)

2023 (15)