102 Machine Learning roles across 47 companies, most in AI/ML; 21% fully remote; typical advertised salary $212k
Who is hiring (47 companies)
Work arrangement: 21 fully remote · 40 hybrid · 5 on-site · 36 not stated
Advertised salaries: p25 $184k · median $212k · p75 $239.3k (from 64 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 102 positions
Search with filters →Join Airbnb as a Staff Machine Learning Engineer to lead impactful projects in relevance and personalization using cutting-edge AI technologies.
Lead enhancements to Databricks' AI/ML-powered search platform, focusing on search quality and relevance.
Lead the development and deployment of innovative chemical refining processes at a forward-thinking minerals company.
Join Mercury as a Staff Data Scientist to build and deploy machine learning models for fraud detection in a fast-paced fintech environment.
Join Crucibl as a Member of Technical Staff to push the frontier of judgment in AI and shape the future of decision-making.
Join Crucibl as a Member of Technical Staff to design and build AI systems that impact Fortune 500 clients directly.
Join Omnifold as an ML Research Scientist to tackle complex supply chain challenges with innovative AI models.
Join Omnifold as an ML Research Engineer to tackle complex supply chain challenges with innovative AI models.
Join CuspAI as an ML Research Engineer to develop next-generation computational methods for molecular simulations in a hybrid work environment.
Lead applied research and development for AI models at Fiddler AI, ensuring safety and compliance in production applications.
Build and improve the technical foundations for Answer Quality at Perplexity AI, collaborating with data scientists and engineers.
Own the decisioning system for real-time transaction scoring in a high-impact fraud detection role at MoonPay.
Join Braze as a Staff Applied Scientist to lead transformative ML initiatives for personalized customer engagement.
Join Braze as a Staff Applied Scientist to lead transformative ML initiatives for personalized customer engagement.
Join Reflection AI to build systems that transform pre-trained models into aligned agents in a fast-paced startup environment.
Own the red-teaming and adversarial evaluation pipeline for Reflection’s models to ensure safety and reliability.
Join Reflection AI as a hands-on technical staff member to enhance model performance through data-driven evaluations and feedback loops.