Staff Machine Learning Engineer, ML Compute

April 2

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

• Design core platform backend software components • Experience cloud platforms like GCP, Azure • Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa • Analyze and improve efficiency, scalability, and stability of various system resources • Proactively identify, drive and design large initiatives across Cruise ML workflows • Work on large scale initiatives to raise the overall Cruise engineering bar • Participate/lead open source projects. Lead/drive community recognition for Cruise engineering.

Requirements

• 8+ years of industry experience • Expertise in either Go, C++, Python or other relevant coding languages • Strong background with Kubernetes at scale • Relevant experience building large-scale with distributed systems • Experience leading and driving large scale initiatives • Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services • Hands-on experience in ML platforms • Experience with GPU/TPU optimizations • Experience with training frameworks like PyTorch, TorchX • Experience with Ray framework • Leadership/active participation in the open source community • Experience infrastructure applications or similar experience

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