Senior Staff Machine Learning Engineer

August 31

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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

• The Behaviors Teams at Cruise develop machine learning models for AV safety • Drive applied ML research and development on urban roads • Explore, prototype, validate, and iterate new algorithms • Optimize and refine on-road performance for models • Guide current and future technology choices • Balance technology tradeoffs for business impact • Enable engineers with easy-to-extend design and code • Influence consensus in technical debates • Ensure high engineering best practices and quality • Plan long-term and establish scalable processes • Foster testing, safety, and documentation culture across teams • Pursue technologies for engineering productivity • Help define and embody Cruise’s engineering culture

Requirements

• BS, MS, or PhD, in CS/CE/EE, or equivalent industry experience • Experience in SOTA deep learning techniques, e.g. training LLM/ foundational models and/or other large foundational models • Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch • Extensive experience with machine learning and classification • Strong programming skills in Python or C++ • Excellent mathematical reasoning skills, especially with probability • Passionate about self driving car technology and its impact on the world • Attention to detail and a passion for truth • A track record of efficiently solving complex problems collaboratively on larger teams • Startup mentality - openness to dealing with unknown unknowns and wearing many hats • Strong expertise in writing production quality code and setting standards for code quality across engineering teams • Experience in driving technical strategy and vision for engineering teams and organizations • Leadership experience for planning and execution of cross-functional initiatives and projects

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.