Position Details
About this role
This role involves applying machine learning techniques to improve system infrastructure and performance at Databricks, focusing on scalable AI models, deployment, and optimization.
Key Responsibilities
- Build end-to-end ML systems
- Shape ML investment strategies
- Develop scalable ML infrastructure
- Deploy and monitor models in production
- Contribute to open-source and research
Technical Overview
The technical environment includes ML infrastructure, scalable systems, data storage, model training and serving, monitoring, and open-source tools, primarily within Databricks' platform.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 2+ years of experience in building scalable ML systems, infrastructure, and deployment pipelines. They possess strong software engineering skills and a passion for research and open-source contributions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in ML infrastructure, No software engineering background, Less than 2 years of relevant experience, Unwillingness to work on high-impact projects
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