Frontier Tech Ml%20infrastructure Jobs

Responsibilities Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models

Strong understanding of state-of-the-art ML models (e.g., autoregressive transformers) and hands-on proficiency with ML accelerator profiling tools to

Nice to have: M.Sc or PhD in a ML related area Built an ML optimization framework from scratch before

Computer Engineering or equivalent practical experience 10+ years on designing/architecting complex, high performance architectures - CPUs, GPUs and/or ML

Flyte We're looking for someone who has: Exceptional software generalist experience with ambition to contribute up and down the ML

Contributions to significant open-source systems, ML frameworks, compilers, or kernel libraries.

Familiarity with ML training and inference lifecycles.

ML Flywheel for all ML models at Waymo via data store and data infra ecosystem.

An expert in modern ML engineering. You understand the mathematics and systems behind modern ML methods.

Algorithms, Graph Neural Networks (GNNs), or Information Retrieval / Retrieval-Augmented Generation (RAG) Authorship of published papers in top-tier AI/ML

About The Role The Core ML team develops novel algorithms for efficient large-scale training and inference.

engineers that want to work beyond modeling to join the Data & ML infra group.

: Scale the world’s most trusted driver by delivering state-of-the-art ML capabilities, efficient and reliable infrastructure, and an ecosystem built for

Experience integrating external threat intelligence feeds and enrichment data into ML workflows.