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37 open positions · Updated 1 week ago
37 Machine Learning roles across 20 companies, most in AI/ML; 32% fully remote; typical advertised salary $117.8k
Who is hiring (20 companies)
Work arrangement: 12 fully remote · 9 hybrid · 2 on-site · 14 not stated
Advertised salaries: p25 $111.1k · median $117.8k · p75 $176.8k (from 22 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 37 positions
Search with filters →Lead the technical direction for AI-powered customer experiences at Dropbox, influencing architecture and engineering standards.
Join Cresta as a Senior Machine Learning Engineer to lead the development of next-generation AI systems for enhancing customer experiences.
Lead a globally distributed team in developing endpoint protection solutions at Elastic, focusing on security and machine learning.
Join Affirm as a Senior Manager in Quantitative Analytics to lead a high-performing team in model risk management and validation.
Drive enterprise sales in the Energy, Mining, and Utilities sectors as a Named Core Account Executive at Databricks.
Lead the vision and strategy for Identity Threat Detection and Response within Elastic Security in a fully remote environment.
Lead and develop a high-performing team to build Mercury's core data infrastructure and platform for analytics and AI.
Join Reddit as a Staff Data Scientist to lead innovative measurement and identity solutions in advertising.
Join Stripe's ML Infra team to build scalable services that enhance ML development and MLOps across the company.
Lead a team to develop an AI conversation platform that enhances user experience for Stripe merchants.
Join Faire as a Staff Applied AI/ML Scientist to lead the development of advanced search and recommendation systems.
Lead a team of Delivery Solution Architects to drive customer success and usage growth in a high-growth environment.
Join Block as an Applied Research Intern to develop proactive intelligence systems that enhance customer understanding and decision-making.