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Woven by Toyota is enabling Toyota's transformation into a mobility company by developing advanced Machine Learning solutions for autonomous driving, aiming for a world with zero accidents and enhanced well-being for all.

Requirements

• 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

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.

Other

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