Mobility to Love, Safety to Live
software development • automated driving • vehicle software platform • smart city
April 16
🔄 Hybrid – Bay Area
Mobility to Love, Safety to Live
software development • automated driving • vehicle software platform • smart city
• Develop and integrate SOTA methods for efficient training of ML models • Architect tools for ML model evaluation and validation • Improve utility of vehicle data • Identify and address bottlenecks during training and deployment of ML models • Scale architecture leveraging heterogeneous clusters
• Bachelor's degree in Computer Science or related field • Strong experience in ML training and deployment ecosystems • Proficiency in Python and PyTorch • Familiarity with Docker, Kubernetes, Airflow, and C++
• Generous benefits package • On-site gym • Free snacks and beverages • Professional development opportunities
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