AI Engineer

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams.

We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.

This role can be remote.

The impact you will have:
Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems
Own production rollouts of consumer and internally facing GenAI applications
Serve as a trusted technical advisor to customers across a variety of domains
Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy

Expertise in deploying production-grade GenAI applications, including evaluation and optimizations

Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.

Experience building production-grade machine learning deployments on AWS, Azure, or GCP

Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

Passion for collaboration, life-long learning, and driving business value through AI
[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond 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.

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

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employers 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.

Role: Machine Learning Engineer
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning

Education
UG: Any Graduate
PG: Any Postgraduate