Sr. Machine Learning Engineer

The Applied AI team at Databricks sits at the forefront of advancing GenAI‑powered products. Over the past years, we’ve launched Databricks Assistant, AI / BI Genie, and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by hundreds of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text‑to‑SQL generation, automatic pipeline generation, knowledge QA and many others.

As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Why Join Us?

At Databricks, we are building state‑of‑the‑art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI‑driven products at Databricks, work with cutting‑edge models, and collaborate with a world‑class team of AI and ML experts.

If you’re excited about pushing the boundaries of AI in real‑world applications, we’d love to hear from you!

Pay Range Transparency

Local Pay Range

$166,000 — $210,250 USD

Key Responsibilities

• Shape the direction of our applied AI areas and intelligence features in our products. Drive the development and deployment of state‑of‑the‑art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI / BI Genie).
• Develop novel data collection, fine‑tuning, and LLM technologies that achieve optimal performance on specific tasks and domains.
• Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.
• Work closely with cross‑functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction.
• Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance.

What We’re Looking For

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https : / / www.mybenefitsnow.com / databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

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 this basis alone.

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