Infrastructure Ml Jobs

in machine learning pipelines and ML engineers that want to work beyond modeling to join the Data & ML infra group.

In this role, you will enable this research effort by building ML tools, infrastructure, managing large datasets, and addressing challenges across the entire end-to-end

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

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

Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine

Experience in GPU/ML infrastructure or high-performance compute workloads on AWS.

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

Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine

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

with expertise in scaling open-source data infrastructure to join the Data & ML infra group.

Experience developing test infrastructure or extensions for frameworks such as pytest.

This new team would coordinate with our current ML teams: Field ML, which works directly with customers, Applied ML, which builds new ML capabilities and applications

Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine

Familiarity with infrastructure monitoring and centralized logging tools.

Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine