Description
As part of the AI Platform team at Databricks, you'll build the substrate that powers data apps, AI agents, model training, model serving, and vector search.
You will:
- Build infrastructure for 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
Requirements:
- 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
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
The pay range for this role is $165,300-$219,675 USD.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/databricks/jobs/8379331002