Ml Algorithm Mapping Performance Engineer Core Ml Jobs in San Francisco, CA

…Role: We’re looking for an ML Silicon Performance Lead to drive hardware/software co-design for our silicon architecture.

…will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works.

…is looking for a Software Engineer to join the ML Developer Experience (MLDevX) team.

…the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework

…contributions and staying current with ML

…Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning,

Proficiency in common ML tooling and strong software engineering fundamentals in languages such as Python, Go, Java, or C++.

…role at the intersection of ML, software engineering, and scalable infrastructure.

Partner with researchers and engineers to support new model architectures and bring performance improvements into production.

You will develop high-performance ML kernels (e.g., CUDA, CuTe, Triton), enable efficient low-precision arithmetic, and improve the distributed compute stack that

We're hiring a Founding ML Engineer to own the research and engineering behind our core intelligence layer.

What We’re Looking For Strong engineering skills: you write performant, maintainable code and can debug complex systems.

…role: Running machine learning ( ML) algorithms at our scale often requires solving novel systems problems.

About the Role At Watney, ML Infrastructure engineers turn data collected from a live fleet of robots into better models