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17 open positions · Updated 1 day ago
17 Deep Learning roles across 9 companies, most in AI/ML; 100% fully remote; typical advertised salary $190.5k
Who is hiring (9 companies)
Role types
Work arrangement: 17 fully remote
Advertised salaries: p25 $176.9k · median $190.5k · p75 $230k (from 12 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 17 of 17 positions
Search with filters →Lead a team of ML engineers to develop models for credit lending decisions in Europe and Australia at Affirm.
Lead a team of ML engineers to develop models for credit lending decisions across Europe and Australia at Affirm.
Manage a team of ML engineers to build models for credit lending decisions across Europe and Australia at Affirm.
Lead the design and evolution of retrieval models for Reddit's advertising systems in a fully remote role.
Join Coinbase as a Senior Machine Learning Engineer to build AI-powered systems for customer engagement.
Lead the design and delivery of production ML systems to enhance customer experience at Coinbase.
Join Fundamental as an ML Researcher to tackle technical challenges in developing breakthrough Machine Learning models for enterprise decision-making.
Join Reddit as a Staff Machine Learning Engineer to enhance ML-powered ad ranking systems in a fully remote role.
Lead the design and evolution of retrieval models for Reddit's advertising systems in a fully remote role.
Join Horizon3.ai as an Applied AI Scientist to develop agents that enhance cybersecurity through autonomous defense mechanisms.
Join Quora as a Senior Machine Learning Engineer to optimize ads ranking models and drive measurable advertiser value.
Join Pinterest as a Sr. Machine Learning Engineer to build cutting-edge technology that personalizes user experiences for millions.
Join Block as an Applied Research Intern to develop proactive intelligence systems that enhance customer understanding and decision-making.
Join Block as an Applied Research Intern to develop proactive intelligence systems that enhance customer understanding and decision-making.