Staff Machine Learning Engineer - End to End AutonomyWoven by Toyota • United States

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Staff Machine Learning Engineer - End to End Autonomy

Woven by Toyota

United States

United States

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divh2Staff Machine Learning Engineer - End To End Autonomy/h2pWoven by Toyota is enabling Toyotas 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./ppOur 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, were working toward one bold goal: a world with zero accidents and enhanced well-being for all./ppAt 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. Were passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. Were 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./ppWoven 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 TRIs robotics divisions efforts in Diffusion Policy and Large Behavior Models (LBM)./ppWho Are We Looking For?/ppA technical lead who will work with the Lead engineers across Woven and TRI to help drive the strategy of the research development for end-to-end driving. The technical lead will also help bridge the connections between the research project and the production programs. This role requires strong communication skills and a collaborative mindset to navigate the joint nature of the Woven / TRI collaboration. The applicant is expected to have a wide technical knowledge of the state-of-the-art approaches in robotics/autonomous driving to define vision, scope, and to initiate longer-term open-research efforts./ph3Responsibilities/h3ulliDrive 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./liliIdentify opportunities, resolve ambiguities, propose initiatives and execute to transfer successful research efforts to the production path./liliLead 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./liliIdentify 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./liliCollaborate, 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./liliInitiate, lead and mentor on ML best practices across teams./li/ulh3Experience/h3ulli7+ years of professional experience with machine learning applications or applied science/liliMS or higher degree in CS/CE/EE, or equivalent industry experience/liliHands-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./liliExperience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred)/liliExperience with temporal data and/or sequential modeling/liliFamiliarity with state-of-the-art architectures for object detection and 3D perception/liliPython and C++ experience/liliHands-on experience with large scale distributed training/liliExperience in ML workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization/liliKnowledge of debugging and profiling deep neural networks on NVIDIA CUDA stack/li/ulh3Nice To Have/h3ulliPublished research at top-tier conferences (NeurIPs, CVPR and similar)/liliHands-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)/liliExperience with PyTorch and Computer Vision for sensor fusion (e.g. BEV representations)/liliExperience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling)/liliExperience with infrastructure for large scale temporal datasets/li/ulpFor positions based in Palo Alto, CA, the base pay for this position ranges from $161,000- $264,500 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 individuals skills, experience, qualifications, location, and level./ppWe 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./ppExcellent health, wellness, dental and vision coverage/ppA rewarding 401k program/ppFlexible vacation policy/ppFamily planning and care benefits/ppWe 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./p/div

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