11 LLM Labs jobs

Menlo Park, California, US (On-site)

$250–350K / year

About Periodic Labs We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond.

Beijing, CN (On-site)

NVIDIA are seeking Solution Architects with specialized expertise in training and deploying Large Language Models (LLMs), implementing RAG workflows,…

United States (Remote)

$100.00 / hour

About the Program The Human Frontier Collective (HFC) brings researchers and scientists together to tackle consequential problems in AI.

Menlo Park, California, US (On-site)

$250–350K / year

We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond.

San Francisco, California, US (Hybrid)

$205–248K / year

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

Menlo Park, California, US (On-site)

$250–350K / year

About Periodic Labs We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond.

Tel Aviv-Yafo, Tel Aviv District, IL (Hybrid)

Description Our team is looking for a Deep Learning Engineer.

Menlo Park, California, US (On-site)

$250–350K / year

About Periodic Labs The most important scientific discoveries of our time won’t happen in a traditional lab.

Menlo Park, California, US (On-site)

$200–250K / year

About Periodic Labs We’re an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond.

Menlo Park, California, US (On-site)

$200–275K / year

About Periodic Labs We’re an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond.

Menlo Park, California, US (On-site)

$250–350K / year

About Periodic Labs We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond.