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44 open positions · Updated 1 week ago
44 Machine Learning roles across 24 companies, most in AI/ML; 27% fully remote; typical advertised salary $119.0k
Who is hiring (24 companies)
Work arrangement: 12 fully remote · 12 hybrid · 4 on-site · 16 not stated
Advertised salaries: p25 $111.1k · median $119.0k · p75 $180.9k (from 24 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 44 positions
Search with filters →Join Instacart as a Senior Risk & Compliance Engineer to build automated risk models and data pipelines in a fully remote environment.
Join Instacart as a Machine Learning Engineer II to develop and enhance ads systems using machine learning solutions.
Join Lyft as a Machine Learning Engineer to design and deploy ML systems that impact business across various domains.
Join Lyft as a Data Scientist to leverage causal inference for enhancing safety and customer care experiences.
Join Lyft as a Data Scientist on the Mapping team to enhance routing algorithms and improve travel time estimations.
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.
Join Databricks as a Solutions Architect to lead technical strategies for large enterprises in their data-driven transformation.
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.