Senior Applied ML Engineer - ML4Sys
Databricks — Analytics · Artificial Intelligence (AI) · Data Integration
About the role
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…
What the index says about this role
- First seen by JobLarper — Sep 30, 2026, 17 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- No pay range in our index for this listing. Across 259 indexed Machine Learning Engineer roles in US that do publish one, the middle half sits between $220k and $300k, median $257k — JobLarper's read of the market, not a figure from Databricks.
- What Machine Learning Engineer roles ask for — across 1,197 indexed openings: ML (73%), AI/LLM (55%), Python (52%), REST/APIs (37%), Backend (21%). This posting names ML, Python, Backend.
- Databricks is hiring actively — 500 open roles indexed, 219 first appeared in the last 30 days.
Derived from the 28,470 roles JobLarper indexes daily from official company boards — not from the job description above.
⚡ JobLarper watched this role appear on Databricks's official board on Aug 3, 2026. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.
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