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Databricks — ML / AI Engineer jobs

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ML / AI Engineers build, train, and ship machine-learning systems — from models and data pipelines to the production infrastructure that serves them. It's one of the highest-demand, highest-paid engineering tracks of the AI era. This board aggregates open ML/AI engineering roles daily from company ATS feeds and links to the original posting.

📊 Hiring Index September 2026 What is a ML / AI Engineer? Salary data

ML / AI Engineer — FAQ

What does an ML / AI Engineer do?
Designs, trains, evaluates, and deploys ML models; builds data and inference pipelines; and increasingly works on LLM/GenAI systems — across the line from applied research to production (MLOps).
ML Engineer vs. Data Scientist?
Data scientists focus on analysis, experimentation, and insight; ML engineers focus on building and shipping models as reliable production systems — it's an engineering-heavy track.
How much do ML / AI Engineers earn?
US mid-to-senior roles commonly land around $160k–$300k+ total comp, often with equity; it varies by company and level. Check each posting.