42 Llm roles across 29 companies, most in AI/ML; 19% fully remote; typical advertised salary $196.1k
Who is hiring (29 companies)
Work arrangement: 8 fully remote · 16 hybrid · 7 on-site · 11 not stated
Advertised salaries: p25 $182k · median $196.1k · p75 $227.2k (from 26 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 42 positions
Search with filters →Join a small team to build a complex AI-native product that bridges AI systems and human preferences.
Join Phylo as a Member of Technical Staff to advance AI agents for biomedical discovery through engineering and evaluation.
Join Town as a Staff Backend Engineer to build AI-powered systems that enhance productivity through intelligent workflows.
Join Town as a Staff Backend Engineer to build AI-driven systems that enhance productivity across various tools.
Join Ambience as a Staff ML Engineer to shape AI systems that enhance clinician experiences in healthcare.
Join Airbnb as a Staff Machine Learning Engineer to innovate customer service with cutting-edge AI technologies.
Lead the development of next-generation AI systems at Cresta, focusing on real-time agent augmentation and LLM-powered solutions.
Lead the technical direction of backend systems for AI-driven product experiences at Pinterest.
Lead the development of data ingestion and normalization for advertising platforms at Databricks.
Own the account identity and data foundation at Intercom, driving efficiency for Sales, Marketing, and Operations teams.
Join Zuma as a Staff Engineer to shape the future of agentic AI in the property management industry.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.
Own the architecture and delivery of LLM-powered agents for marketing content workflows at Databricks.
Join Okta as a Staff Software Engineer to build a scalable AI platform that addresses complex engineering challenges.
Join Databricks as a Staff Software Engineer to build CustomerLake, enhancing ML and AI personalization for businesses.
Join Reddit as a Staff Machine Learning Engineer to lead the development of personalized notification systems for millions of users.
Join Anthropic as a Staff Software Engineer to build AI-native tools that enhance people practices in a fast-growing environment.