…understanding of training infrastructure and distributed paradigms (e.g., FSDP, Megatron, JAX/Pax) required for training massive models reliably. Expert-level software engineering fundamentals…

…This role exists to scale that engine. The role is the hands-on builder, program coordinator, and adoption driver at the center of that…

…metal, assembly, and precision machining, supported by industrial-scale facility systems. We're looking for a hands-on Senior Manager, Facilities Infrastructure to be…

…Mentorship & Function Contribution (Function Contribution) - Serve as a technical mentor for senior engineers and researchers, providing guidance on deep learning fundamentals, problem formulation, and…

…regressions, evaluate new video features, and guide codec and pipeline tuning. Apply machine learning and AI models to develop specialized video processing and adaptive…

…or data engineering with heavy labeling exposure) Deep understanding of annotation quality frameworks: IAA, consensus labeling, gold standard evaluation, error taxonomy, and calibration workflows…

…The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real…

…effective, data-driven machine. This role partners closely with Product, Engineering, Compliance, Legal, Finance, and regional business leads to surface and manage risks that…

…We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has…

…efficient multi-task learning - Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference - Lead focused…

…Machine Learning Engineer on Wayve's Measurement team in AI Evaluation, based in our Sunnyvale office, you will build the computer vision and scene…

…software engineering or large scale infrastructure environment ML Experience: 2+ years of experience managing technical projects involving machine learning infrastructure, model training/evaluation loops…