Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
About the role
- 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
- A rewarding 401k program
- Flexible vacation policy
- Family planning and care benefits
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
Tech skills
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