Woven by Toyota · 1 day ago
ML Platform Senior Engineering Manager, Autonomy
Palo Alto, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$161K/yr - $264K/yr
10+ years expWoven by Toyota is enabling Toyota’s transformation into a mobility company, focusing on human-centric innovation. They are seeking an experienced ML Platform Senior Engineering Manager to lead a team of ML engineers in developing and deploying tools and infrastructure for machine learning in autonomous driving applications.
AutomotiveAutonomous VehiclesSoftware
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, optimize, 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
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
10+ years of experience with data structures, algorithms, design patterns, and software engineering best practices
Deep understanding of runtime complexity, space complexity, distributed computing, and the application of these concepts in concrete, distributed ML training and evaluation
4+ years of experience with Python, PyTorch/Tensorflow, and UNIX-based systems (Linux or similar)
4+ 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 scaling ML training and fixing the typical issues found at large scale
Experience with Apache Spark, Airflow, Flyte, Flink, Ray, or similar ML pipelines technologies
Experience working with temporal data and/or sequential modeling
Experience with Docker and CI systems such as GitHub Actions
Excellent communication, with the ability to communicate concepts clearly and precisely
Track record of effective cross-functional collaboration
Ability to lead within a globally distributed department
Passionate about self-driving car technology and its potential for humanity
Preferred
MS / PhD in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience
Experience as a Software Architect or Senior Manager
Experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning
Proven track record of deploying ML models at scale in self-driving or related fields
4+ 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 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
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.
1001-5000 employees
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)
Funding
Current Stage
Late StageLeadership Team
John Absmeier
Chief Technology Officer
Edwin Han
Senior Partnerships Manager
Recent News
2025-10-02
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