$232K – $313K/yr
● Strong current hiring demand for this role
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Role overview
P-1096 At Databricks, we run the world's largest AI platform. We believe the next breakthroughs will come from models trained on domain-specific enterprise data, not from bigger general-purpose models alone. That's why we built AI Runtime , a serverless product that makes GPU training of any size feel simple, so companies can train their own models the way frontier labs do. Customers across industries train on it, right next to the enterprise data already in Databricks. Among them are Rivian in automotive, Robinhood in fintech, and Merck, which builds foundation models for drug discovery. Our own AI researchers use it to post-train models with hundreds of billions to nearly a trillion parameters. It takes a lot of engineering to make that work, and we've written about it on our blog: how we keep GPUs reliable , make training fault-tolerant , and speed up fine-tuning with fused kernels
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Role market pulse
Live jobs
1,574
Posted 30d
616
30d movement
+34.8%
Remote share
29%
Salary listed
78%
Salary trend 1Y
Not enough history
What they are looking for
Qualification
BS in Computer Science or a related field (MS or PhD preferred); government license for such positions, and Employer may decline to proceed with an applicant on this basis alone
Department · Engineering
Hiring company
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.
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