Senior Machine Learning Engineer II, ML Foundational Tooling

August 13

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Cruise

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A self-driving service designed for the cities we love. Sign up to take fully driverless rides: getcruise.com

Self-Driving Cars • Autonomous Vehicles • Robotics • Artificial Intelligence (AI) • Deep Learning

1001 - 5000

Description

• Develop machine learning optimization algorithms and systems for ML models that drive self-driving vehicles. • Develop large scale model optimization infrastructure 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 into the end-to-end model development workflow. • Build a scalable training and deployment infrastructure where architecture selection and model optimization techniques can be seamlessly integrated. • Collaborate with Autonomy, Performance systems, ML infrastructure teams.

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

Benefits

• Competitive salary and benefits • Medical / dental / vision, Life and AD&D • Subsidized mental health benefits • Paid time off and holidays • Paid parental, medical, family care, and military leave of absence • 401(k) Cruise matching program • Fertility benefits • Dependent Care Flexible Spending Account • Flexible Spending Account & Health Saving Account • Perks Wallet program for benefits/perks • Pre-tax Commuter benefit plan for local employees • CruiseFlex, our location-flexible work policy.