Description
At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems , from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.
As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure , with deep ties to research, product, and real-world enterprise use cases.
The impact you will have:
- Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs.
- Improve reliability, latency, and efficiency of distributed AI workloads.
- Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences.
- Shape how developers and data scientists build and interact with AI on Databricks.
What we look for:
- 5+ years of experience in backend or infrastructure engineering.
- Strong programming skills in Scala, Go, or Python.
- Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
- Familiarity with service-oriented architecture, deployment pipelines, and system observability.
- Strong product and ownership mindset , you care about building the right solution, not just any solution.
Bonus points for:
- Experience with real-time serving, ML infrastructure, or GPU orchestration.
- Exposure to platforms like SageMaker, Vertex AI, or Azure ML.
- Contributions to OSS projects like MLflow, PyTorch, or Ray.
- Built developer platforms or internal tools supporting AI workflows.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
Local Pay Range $166,000-$225,000 USD