Machine Learning Engineer developing cutting-edge technology for autonomous driving at Woven by Toyota. Collaborating on AI innovations while navigating complex challenges in a hybrid work environment.
Responsibilities
Support the 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;
Able to navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases;
Writes high-quality code while being rigorous with Machine Learning experimentation;
Collaborate closely with stakeholders from multiple teams in different time-zones to define interfaces and requirements for an end-to-end stack;
Requirements
MS, or higher degree, in related field, or equivalent industry experience
Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred)
Experience with data sampling and data curation pipelines for autonomous driving datasets
Experience in state of the art architectures for end-to-end autonomous driving
Experience in ML workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
Python and C++ experience
Experience with infrastructure for large scale datasets and distributed model training
Experience working with a modern cloud service (AWS, GCP, Azure etc.)
Benefits
Excellent health, wellness, dental and vision coverage
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