Staff Machine Learning Engineer, CustomerLake (ML/LLM)Active$192K
The opportunity
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data…
What you'll do
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
What they're looking for
- + years of engineering experience, with a strong foundation across the full: loop of shipping and improving ML/AI products
- Hands-on experience building and evaluating ML models and/or LLM systems for: real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product
- Experience with personalization based on customer behavior (ideal) or: transactions (acceptable), such as recommendations, targeting, churn, or lifetime-value modeling
- Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands-on: experience in model evaluation and monitoring AI quality in production
