Currently tracking 66 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $220k).
| Title | Stage | AI score |
|---|---|---|
| Specialist Solutions Architect - AI/ML Role focuses on architecting and guiding customers in building production-grade ML & AI applications, with a strong emphasis on GenAI solutions like RAG and agentic systems, and MLOps. The role involves deep technical expertise in end-to-end ML pipelines, training/inference optimization, and integrating with cloud services, serving as a trusted technical expert for customers and internal teams. | AgentServe | 7 |
| Sr. Manager, Engineering - Search Senior Engineering Manager for Search at Databricks, responsible for building and scaling next-generation Search products including Vector Search, Keyword Search, and Search Quality. The role involves leading a team to design, build, and operate cloud-native Search services, drive innovation in search capabilities, and partner with product and research teams on roadmap definition. The position also includes managing large-scale services, mentoring engineers, and shaping the long-term strategy for Search as a core enabler for AI and data applications. |
| AgentEval Gate |
| 7 |
| Sr Software Engineer, Search Databricks is seeking ML Engineers to enhance their AI/ML-powered Search product. The role involves developing and deploying ML-based search and discovery relevance models, designing ML/NLP pipelines for query understanding and ranking, and contributing to evaluation frameworks. Experience applying LLMs to search relevance and developing search relevance systems at scale is required. | ShipAgent | 7 |
| Sr Software Engineer, Search Relevance (Applied AI) Databricks is hiring ML Engineers for their Applied AI team to enhance search quality for their platform. The role involves developing and deploying ML-based search and discovery relevance models, building automated ML/NLP pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation, and contributing to a robust framework for evaluating search ranking improvements. Experience applying LLMs to search relevance and developing search relevance systems at scale is required. | Ship | 7 |
| Staff Backline Engineer - Data & AI Staff Backline Engineer role at Databricks focused on deep-dive troubleshooting, root cause analysis, and architectural optimization within the Databricks Data and AI ecosystem. The role involves developing automated workflows and AI-driven diagnostic tools to improve supportability and scale the organization. Requires expertise in either Data Engineering, Product Supportability, or the AI track (ML/GenAI systems, LLMs, agentic workflows). | ServeAgent | 7 |
| Senior Applied AI Engineer – ML for Systems & Infrastructure Senior Applied AI Engineer focused on applying ML to improve Databricks' engineering systems and infrastructure, including cluster management and query compilation. The role involves building end-to-end systems, deploying models at scale, and architecting ML infrastructure for production environments. | Serve | 7 |
| Senior Software Engineer - Search Databricks is hiring ML Engineers to enhance their Search product quality, focusing on search ranking, query understanding, and building robust evals. The role involves developing and deploying ML-based search and discovery relevance models and systems, designing ML/NLP pipelines, and collaborating with product teams. Experience with LLMs in search relevance and developing large-scale search relevance systems is required. | Ship | 7 |