…the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on…

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

…Some begins on CNC machines, inspection equipment, PLCs, engineering files, and the factory floor. As an Senior Engineering Manager, you will build and lead…

…research and infrastructure engineering, you will define the long-term strategic outlook and architectural roadmap for our future machine learning training and serving capabilities…

…and structured light systems, multi-view geometry, and/or LiDAR-based algorithms in production - Strong machine learning foundations — model architecture, training infrastructure, and production…

…Rowe Price, and other leading investors. About the Role We are looking for a Senior/Staff Machine Learning Engineer to be a technical leader…

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

…We are seeking Machine Learning Engineers to lead high-impact research projects that bridge the gap between state-of-the-art AI and production…

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

…and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who…

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

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

…Master's or PhD in Computer Science, Machine Learning, Robotics, or a related field. Experience with data pipelines and feature extraction for machine learning…

…and other sharding approaches. A willingness to work with complexity of globally distributed inference infrastructure. We prefer: PhD in Computer Science, Machine Learning, or…

…Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow We prefer: Experience developing and maintaining evaluation…

…This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates…

…This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates…

…As Staff Software Engineer, Identity and Access Management, you will build the security foundation that the API Platform is built on. You will own…

…We're hiring a Lead Machine Learning Infrastructure Engineer to serve as the technical anchor for ML infrastructure across Samsara's Safety AI organization…

…of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling. About the…

…for Nuro’s ML Data engine. You will sit at the critical intersection of Autonomy, Machine Learning, and Infrastructure, acting as an architect for…

…software engineering and machine learning Proficiency in C++ and Python Experience in designing distributed systems processing data at scale, especially ML data infra Good…

…Lead a top-tier applied ML team focused on building eval frameworks, infrastructure, and AI-powered tooling for World Model understanding and evaluation. Drive…

…the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on…

…6+ years of professional software engineering experience, with at least 4 years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and…