Senior Applied ML Engineer - ML4Sys
Databricks · Engineering - Pipeline
- Location
- San Francisco, California
- Metro
- San Francisco Bay Area
- Workplace
- Unspecified
- Level
- Senior
- Type
- Unspecified
- Pay
- $166K–$210K/yr (estimated from posting text)
- Posted
- 3 months ago
- Source
- Greenhouse
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What the posting covers
About the company
RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire…
About the company
Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain: Strong understanding of computer architecture,…
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…
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps,…
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on…
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