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
August 6
🏢 In-office - San Francisco
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
• As a Senior ML Systems Engineer II, Deployments Ops, work on advanced self-driving vehicles • Develop and optimize machine learning optimization and inference systems for ML models that drive self-driving vehicles • Collaborate with Autonomy, Performance systems, ML infrastructure teams • Design and implement tools and algorithms for ML optimization and runtime systems • Perform rigorous testing and debugging to ensure flawless system performance • Continuously improve and optimize inference models and algorithms
• Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience considered. • Strong experience in machine learning and ML acceleration • Proficiency in programming languages such as Python, PyTorch, Tensorflow, C++ • Excellent problem-solving and analytical skills • Excellent communication and collaboration skills
• 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.
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