Skip to main content

31 Open Source Models jobs

Showing 1–20 of 31 jobs

TM

Developer Relations Engineer

Thinking Machines Lab

San Francisco, California, US (On-site)

$300–350K / year

About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment.

6 days ago

RA

San Francisco, California, US (On-site)

Our Mission Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on.

9 mo. ago

TA

United States (Remote)

$250–300K / year

About the Role As a Solutions Architect at Together AI, you will work with customers and prospects to create business value through Generative AI applications.

1 yr. ago

TM

Developer Experience Engineer

Thinking Machines Lab

San Francisco, California, US (On-site)

$300–350K / year

About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment.

6 days ago

L

New York, US (On-site)

$160–200K / year

About Us At LangChain, our mission is to make intelligent agents ubiquitous.

1 mo. ago

B

New York, US (Hybrid)

$180–230K / year

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

9 mo. ago

O

United States (Remote)

About OpenRouter OpenRouter is the open AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large…

3 wk. ago

N

United States (Remote)

$152–287.5K / year

We are seeking a visionary Developer Relations Manager to engage with the next generation of AI-native software companies —the builders creating…

7 mo. ago

AC

Research Engineer

Applied Compute

San Francisco, California, US (On-site)

$200–335K / year

The role As a research scientist, you will design, implement, and optimize the large-scale training infrastructure that powers our frontier…

9 mo. ago

A

San Francisco, California, US (On-site)

$350–850K / year

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

10 mo. ago

Related searches