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Woven by Toyota · 2 weeks ago

Staff Machine Learning Engineer - End to End Autonomy

Palo Alto, CA

Full-time

Onsite

Senior Level, Lead/Staff

$161K/yr - $264K/yr

7+ years exp

Woven by Toyota is enabling Toyota’s transformation into a mobility company, focusing on human-centric innovation. The Staff Machine Learning Engineer will drive the strategy for end-to-end autonomous driving research and collaborate with teams to develop cutting-edge ML solutions.

AutomotiveAutonomous VehiclesSoftware

H1B Sponsor Likely

Responsibilities

Drive the strategy and development of state-of-the-art initiatives to accelerate end-to-end autonomous driving research, including onboard and offline applications, across Woven and TRI tech leads

Identify opportunities, resolve ambiguities, propose initiatives and execute to transfer successful research efforts to the production path

Lead the design, development, experimentation and benchmarks of ML models for e2e autonomous driving, ranging from data strategy, multistage training approaches, model selection and experimentation, as well as evaluation methods and deployment

Identify opportunities across the training stack and initiate efforts to increase the scalability of ML pipeline to support the training of large foundation models, and to optimize edge deployment needs of sota architectures

Collaborate, across timezones, with cross-functional teams such as Data, Perception, Simulation, TRI Research teams to define interfaces and requirements for an end-to-end stack, and to influence technical decisions across the partnership with Woven and TRI to drive innovation

Initiate, lead and mentor on ML best practices across teams

Qualification

Machine LearningDeep LearningRoboticsComputer VisionPythonC++PyTorchGenerative AILarge Scale TrainingCommunication SkillsCollaborationMentoring

Required

7+ years of professional experience with machine learning applications or applied science

MS or higher degree in CS/CE/EE, or equivalent industry experience

Hands-on experience with recent breakthroughs in generative AI for robotics and/or autonomous driving, such as large e2e behavior models, foundation models, world models, multimodal transformer architectures, pre-training and efficient fine-tuning, LLMs and VLAs

Experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred)

Experience with temporal data and/or sequential modeling

Familiarity with state-of-the-art architectures for object detection and 3D perception

Python and C++ experience

Hands-on experience with large scale distributed training

Experience in ML workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization

Knowledge of debugging and profiling deep neural networks on NVIDIA CUDA stack

Preferred

Published research at top-tier conferences (NeurIPs, CVPR and similar)

Hands-on experience with building a perception stack for autonomous systems (e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping)

Experience with PyTorch and Computer Vision for sensor fusion (e.g. BEV representations)

Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling)

Experience with infrastructure for large scale temporal datasets

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

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2025 (71)

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