Senior Machine Learning Engineer at Woven by Toyota

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

230000.0

Posted On

10 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Neural Networks, Deep Learning, Optimization, Computer Vision, Python, C++, Data Strategy, Model Training, Model Evaluation, NVIDIA CUDA, Object Detection, 3D Perception, Distributed Training, Sensor Fusion, Embedded ML

Industry

Software Development

Description

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. Team At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology. Woven by Toyota is developing a joint project between Toyota Research Institute (TRI) and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics division’s efforts in Diffusion Policy and Large Behavior Models (LBM). \n Responsibilities Own design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation and deployment. Resolve ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases. Enable and help other colleagues on the team to be more effective through leading by example when it comes to writing high-quality code, being rigorous with Machine Learning experimentation and knowledge sharing. Collaborate closely with stakeholders from multiple teams in different time-zones to define interfaces and requirements for an end-to-end stack. Experience MS, or higher degree, in related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Knowledge of debugging and profiling deep neural networks on NVIDIA CUDA stack Experience in state of the art architectures for object detection and 3D perception Experience in ML workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization Python and C++ experience Hands-on experience with building a perception stack for autonomous systems Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Hands-on experience with large scale distributed training Nice to Have Hands-on experience with building a perception stack for autonomous systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Experience with PyTorch and Computer Vision for sensor fusion (e.g. BEV representations) Experience with embedded ML platforms and real-time OSes \n For positions based in Palo Alto, CA, the base pay for this position ranges from $140,000- $230,000 a year. Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・A rewarding 401k program ・Flexible vacation policy ・Family planning and care benefits Our Commitment ・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.

Responsibilities

Design and develop ML models for end-to-end autonomous driving, including data strategy, experimentation, and deployment. Collaborate with multiple teams to define interfaces and requirements for the autonomous driving stack.