TensorFlow Jobs in United States

Discover TensorFlow roles in United States on Inference Jobs and apply today.

3mo agoCO

Member of Technical Staff, Modeling

Cohere

London, England, United Kingdom or Remote (Worldwide)
2mo agoNV

Senior Deep Learning Compiler Engineer - XLA

NVIDIA

Santa Clara, California, United States (On-site)$152K – $241.5K Yearly
2mo agoCE
3mo agoPE

AI Inference Engineer (San Francisco)

Perplexity

San Francisco, California, United States (On-site)$210K – $385K Yearly
2mo agoSC

Machine Learning Engineer - Model Evaluations, Public Sector

Scale

San Francisco, California, United States (On-site)$216.3K – $300.3K Yearly
3d agoNV

Senior Deep Learning Software Engineer, LLM Performance

NVIDIA

Santa Clara, California, United States (On-site)$184K – $356.5K Yearly
3w agoTM

Research, Pre-Training Science

Thinking Machines Lab

San Francisco, California, United States (On-site)$350K – $475K Yearly
2mo agoCO

Software Engineer, Inference AI/ML

CoreWeave

Sunnyvale, California, United States (Hybrid)$92K – $135K Yearly
3mo agoCO

Audio Inference Engineer, Model Efficiency

Cohere

New York, United States or Remote (New York, United States + 3 more)
3mo agoOP

Research Engineer, Applied AI Engineering

OpenAI

San Francisco, California, United States (On-site)$250K – $555K Yearly
2w agoD-

Principal Software ML Test Engineer

d-Matrix

Santa Clara, California, United States (Hybrid)$180K – $300K Yearly
2mo agoCE
2w agoGR

AI Performance Engineer

Graphcore

Milpitas, California, United States (On-site)
3mo agoCA

Researcher: Model Architecture

Cartesia

San Francisco, California, United States (On-site)$180K – $350K Yearly
3mo agoD-

Software Engineer, Senior Staff - Kernels

d-Matrix

Santa Clara, California, United States (Hybrid)$180K – $300K Yearly
3w agoTM

Research, Post-Training

Thinking Machines Lab

San Francisco, California, United States (On-site)$350K – $475K Yearly
3mo agoCO

Senior Member of Technical Staff, Multimodal AI

Cohere

San Francisco, California, United States or Remote (Worldwide)