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Databricks

Senior GenAI Research Scientist - Scaling

San Francisco, CaliforniaWebsite

Full details on LinkedIn

The complete job description, requirements, and application details are available on the original posting.


About Databricks

Databricks is a data and AI company founded in 2013 by seven Ph.D. students from UC Berkeley, including CEO Ali Ghodsi and Chief Technologist Matei Zaharia, the creator of Apache Spark. The company focuses on commercializing Apache Spark, an open-source framework for big data processing. Databricks offers a unified Data Intelligence Platform built on lakehouse architecture, which merges the features of data lakes and data warehouses. This platform allows organizations to unify their data, governance, and AI models, making data accessible across the enterprise. Key offerings include the Databricks Lakehouse Platform for data engineering and analytics, Delta Lake for reliable data storage, MLflow for managing the machine learning lifecycle, and Unity Catalog for data governance. With over 15,000 customers, including major enterprises like Block and Comcast, Databricks supports a wide ecosystem of partners to help organizations scale their data and AI initiatives. The company's mission is to simplify and democratize data and AI, empowering teams to solve complex problems in a secure environment.

Industry

information technology & services

Employees

8,300

3309 engineers

Revenue

$4.8B

Website

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Security at Databricks

Compiled from public job postings, careers pages, and company materials. Data may not reflect current state — verify during interviews.

3 Intel Signals

Security Philosophy

Prioritize security from a risk management perspective, use a defense-in-depth approach, and left-shift security in the software development lifecycle.

Security Team

Databricks security team includes leaders like Omar Khawaja (VP of Security and Field CISO), Fermín Serna (Chief Security Officer), and active job postings for Product Security roles.

Key Initiatives

Focus on left-shifting SDLC processes, supporting full SDLC for new product features, vulnerability management, and conducting threat modeling, design reviews, and manual code reviews.

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