Senior Machine Learning Engineer II, Foundational Tooling

4 weeks ago

San Francisco, California, United States Cruise Automation Full time
About the Role

We're seeking a highly skilled engineer to join our team as a Senior Machine Learning Engineer II, Foundational Tooling. As a key member of our Autonomy team, you will have the opportunity to work on the world's most advanced self-driving vehicles and develop machine learning optimization algorithms and systems for ML models that drive self-driving vehicles.

Responsibilities
  • Develop machine learning optimization algorithms (limited precision quantization, pruning algorithms) and systems for ML models that drive self-driving vehicles.
  • Develop large scale model optimization infrastructure (Neural Architecture Search, Fine-tuning Foundational Models, Distillation) that scales for large foundational models in a cost-effective manner.
  • Bring SOTA workflows and algorithms to Cruise by vendoring open source libraries and integrating them to end-to-end model development workflow.
  • Build a scalable training and deployment infrastructure where architecture selection and model optimization techniques can be seamlessly integrated and made usable by Machine Learning Engineers at Cruise.
Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience considered.
  • Strong experience in deep learning and (preferably) foundational models.
  • Strong experience in building scalable tooling and infrastructure for training and deployment of foundational models.
  • Proficiency in programming languages such as Python, PyTorch, C++.
  • Excellent problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
Why Cruise?

We're committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

We're seeking applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability.

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