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 17
🏢 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
• Develop and maintain machine learning models optimization algorithms and pipelines for production systems • Collaborate with performance team to identify opportunities to enhance ML models • Implement and deploy ML models optimization at scale, ensuring performance and reliability • Continuously monitor and improve the performance of ML models in production • Stay up-to-date with the latest advancements in machine learning and acceleration
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience in the industry. • Proven experience in developing and deploying machine learning models in a production environment • Strong programming skills in Python, PyTorch, C++ • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) • Excellent problem-solving and analytical abilities
• 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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