Find your next AI-scored role.

Staff Product Manager at Databricks building AI platform infrastructure for ML lifecycle. Owns roadmap for model training, serving, vector search, and LLM capabilities; partners with engineering on technical decisions and enterprise customers on adoption.

Senior software engineer at Databricks building AI-powered customer support automation systems. Focus on agentic workflows, observability, and scaling support infrastructure across distributed platforms.

Specialist Solutions Architect at Databricks building AI tooling infrastructure and agent networks for Field Engineering. Focus on cloud platforms, vector databases, RAG systems, and internal developer tools to accelerate customer engagements.

Senior Product Manager at Databricks focused on technical product strategy for OLTP databases or data governance. Bridges engineering, product, and field teams to drive roadmap and customer adoption on the Data Intelligence Platform.

Staff Software Engineer (Fullstack) at Databricks building GenAI-first UI/UX interfaces for data and AI products. Focus on complex visualizations, workflows, and agent interfaces in a 0-to-1 product environment.

Staff Backend Software Engineer at Databricks building LLM infrastructure and AI platform services. Focus on distributed systems, reliability, and scaling inference workloads for thousands of customers.

Staff Machine Learning Engineer at Databricks building GenAI products like Databricks Assistant and AI/BI Genie. Focus on LLM quality, fine-tuning, data collection, and ML pipeline development for products used by hundreds of thousands daily.

Staff Backend Engineer at Databricks building Foundation Model Serving infrastructure. Design and operate high-throughput, low-latency LLM inference systems on GPU workloads, working with vLLM and SGLang to serve frontier models at scale.

Staff Backend Engineer at Databricks building the Model Serving platform for AI/ML inference. Focus on designing high-throughput, low-latency serving systems across CPU and GPU workloads, with responsibility for routing, caching, autoscaling, and observability infrastructure.

Staff Backend Software Engineer at Databricks building AI infrastructure powering MLflow, AI Gateway, and agent frameworks. Focus on distributed systems, reliability, and scaling AI workloads across the Mosaic AI platform.

Staff Backend Engineer at Databricks building Model Serving infrastructure. Focus on designing high-throughput, low-latency inference systems for CPU and GPU workloads, with emphasis on scalability, routing, autoscaling, and observability.

AI Engineer (Forward Deployed) at Databricks building and productionizing GenAI applications for customers. Focus on RAG, multi-agent systems, fine-tuning, and production ML deployments on cloud platforms.

Senior Product Manager at Databricks leading the Repos product, which provides source control and workflow management for data and AI teams. Responsible for defining the end-to-end path to production experience, Git integrations, and AI-assisted code management features.

Senior Product Manager at Databricks leading the Repos product, which provides source control and workflow management for data and AI teams. Responsible for defining the end-to-end path to production experience, Git integrations, and AI-assisted code management features.

AI Forward Deployed Engineer at Databricks building GenAI solutions for U.S. federal government customers. Develop production-grade RAG, multi-agent systems, and LLM applications; serve as technical advisor and thought leader.

AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.

AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.

Senior Staff Fullstack Engineer at Databricks building AI-powered internal applications and platforms. Lead technical strategy, mentor engineers, and design end-to-end cloud-native solutions for enterprise workflows.

Senior Manager of Engineering at Databricks leading the Model Serving team, responsible for product experience and foundational infrastructure for deploying and managing AI/ML models at scale. Focus on real-time inference, governance, monitoring, and operational excellence across CPU and GPU systems.

Staff software engineer at Databricks designing and optimizing high-performance GPU kernels for GenAI inference. Focus on kernel-level performance engineering, hardware efficiency, and mentoring on compute optimization across various accelerators.

Staff software engineer at Databricks building the GenAI inference engine for the Foundation Model API. Focus on architecture, optimization, and scaling of LLM serving across GPUs and accelerators.

Software engineer at Databricks building the GenAI inference engine for the Foundation Model API. Focus on optimizing LLM serving systems for latency, throughput, and memory efficiency across distributed GPU infrastructure.

Staff Security Detection Engineer at Databricks building ML-driven intrusion detection systems on the Databricks platform. Designs detection strategies, develops Spark/Python pipelines, and partners with incident response teams to enhance threat detection capabilities.

Senior Product Manager at Databricks leading AI product strategy. Focus on enterprise AI capabilities, agents, and workflow orchestration. Partner with engineering and research teams to translate AI breakthroughs into customer-facing products.

Senior Product Manager at Databricks leading AI product strategy. Focus on enterprise AI capabilities, agents, and workflow orchestration. Partner with engineering and research teams to translate AI breakthroughs into customer-facing products.