Senior/Staff ML Infrastructure Engineer
March 20
🏢 In-office - Bay Area
Description
• Own development of ML models end-to-end • Lead efficient neural network development • Build foundation models for on-vehicle and offline applications • Train and evaluate DNNs for benchmarking • Design and implement cloud inference pipeline • Streamline workflows for creation of deployable artifacts • Support data preparation for training • Develop tools for introspection and visualization
Requirements
• Bachelor's Degree in Computer Science, Machine Learning or relevant field • Master's Degree preferred or relevant work experience • 7+ years of experience in large ML projects • Excellent C++, Python, and/or CUDA skills • Familiarity with Pytorch • Expert in optimization techniques • Experience in software architecture and system performance • Strong analytical skills • Industry experience in building large-scale ML pipelines • Experience with Azure cloud ML training pipelines (preferred) • High Performance Computing experience (preferred)
Benefits
• Position located in Mountain View, CA • Fast-paced, execution-oriented team • Onsite 4 days a week • Opportunity to work with autonomous vehicle (AV) software stack • Accelerate development and deployment of ML models • Hands-on software engineering experience
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