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Ai Ml Jobs in Us
575 open positions · Updated 1 week ago
575 Ai Ml roles across 156 companies, most in AI/ML; 19% fully remote; typical advertised salary $178.1k
Who is hiring (156 companies)
Work arrangement: 110 fully remote · 246 hybrid · 61 on-site · 158 not stated
Advertised salaries: p25 $140.6k · median $178.1k · p75 $215.5k (from 310 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 575 positions
Search with filters →Join Pindrop Security as an AI Engineering Intern, contributing to innovative security solutions in a fully remote environment.
Join Pindrop Security as a Research Scientist II to advance video analysis in AI/ML with a fully remote team.
Join BigHat Biosciences as a Machine Learning Scientist to develop innovative AI solutions in a dynamic startup environment.
Join Eightfold.ai as a Senior Software Engineer to develop AI-driven products in a growth-focused environment.
Join Eightfold.ai as a Sr. AI Growth Partner to drive customer success in a hybrid work environment.
Join Eightfold.ai as a Senior Solutions Consultant to drive AI-powered talent solutions for clients.
Join the AI Agentic Product Dev Team as a Software Engineer to innovate and develop cutting-edge AI solutions.
Join Intel as a Senior AI Performance Library Architect to enhance AI performance in a hybrid work environment.
Lead the architecture of humanoid robotics systems at Intel, focusing on AI and machine learning technologies.
Join Intel as a Senior Physical AI Solutions Architect to drive innovative AI solutions in a hybrid work environment.
Join Uniphore as a Senior AI Engineer to drive innovative AI solutions in a dynamic environment.
Join Uniphore as a Staff AI Scientist to lead innovative AI solutions in a dynamic environment.
Join Uniphore as a Principal/Staff Forward Deployed Engineer to drive AI/ML solutions in a hybrid work environment.
Manage AI enablement initiatives to drive adoption and integration across teams in a hybrid work environment.
Lead the architecture definition for next-generation ultra-low-power AI SoCs at Ambiq.