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28 Large-scale ML Infrastructure jobs

Showing 1–20 of 28 jobs

TA

San Francisco, California, US (On-site)

$200–290K / year

About the Role The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications.

3 mo. ago

S

San Francisco, California, US (On-site)

$189.6–237K / year

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference.

1 yr. ago

A

London, England, GB (Hybrid)

£375–640K / year

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

4 mo. ago

A

San Francisco, California, US (Hybrid)

$365–435K / year

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

2 mo. ago

O

San Francisco, California, US (On-site)

$230–385K / year

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the…

9 mo. ago

B

San Francisco, California, US (Hybrid)

$210–285K / year

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay,…

7 mo. ago

C

San Francisco, California, US (On-site)

$250–375K / year

About Cartesia Our mission is to architect AI that learns from and interacts with the world like humans do.

3 mo. ago

O

San Francisco, California, US (Hybrid)

$347–490K / year

About the Team The Core Models team helps shape how OpenAI’s frontier models are built, measured, and launched.

3 mo. ago

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