# Staff Machine Learning Engineer, CustomerLake (ML/LLM) at Databricks

- Company: Databricks
- What the company does: 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. Backed by Battery, Insight and Kleiner Perkins.
- Company website: http://www.databricks.com/
- Type: Startups (AI role)
- Level: Senior
- Location: New York City, New York
- Work setup: On-site
- Posted: 2026-10-29
- Apply by: 2026-12-13
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8923831002&utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/databricks-staff-machine-learning-engineer-customerlake-ml-llm/

## About the role

As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up. We're building CustomerLake, the Customer Data Platform on Databricks, to bring enterprise-grade ML and AI personalization to every company whose data already lives on Databricks. The best B2C and B2B brands have historically relied on in-house ML/AI teams to power personalization, recommendations, churn and lifetime-value modeling, and audience targeting. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Evaluate ML and LLM approaches for CustomerLake's personalization use cases, push the models and algorithms forward, and continuously improve quality over time
- Go deep on how models behave in production: inspect individual traces, understand how the models reason, and tune and improve from there
- Build the platform and evaluation framework that let CustomerLake customers optimize for real business value such as purchases, retention, and product usage, not vanity metrics like email opens and clicks
- Push the team toward new directions and novel methods worth tackling, not just optimizing what already exists
- Partner closely with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions
- Set the technical foundation and best practices for our ML/AI personalization work as we grow this into several roles across our products over the next 1-2 years

Tags: Engineering - Pipeline

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/databricks-staff-machine-learning-engineer-customerlake-ml-llm/