About this role
About the Role Databricks is building CustomerLake, a Customer Data Platform for enterprise-grade ML/AI personalization. As one of the first engineers in the NYC office, you will help shape a 0-to-1 product, set technical foundations, and drive production ML/LLM capabilities that translate data into real business value.
What You'll Do
- Evaluate ML and LLM approaches for CustomerLake's personalization use cases, push models forward, and continuously improve quality
- Deep-dive into production behavior: inspect traces, understand model reasoning, and tune accordingly
- Build the platform and evaluation framework enabling customers to optimize business outcomes (purchases, retention, product usage) rather than vanity metrics
- Push the team toward new directions and novel methods worth tackling
- Partner with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions
- Set technical foundations and best practices for ML/AI personalization as the product evolves into multiple roles over the next 1-2 years
What We're Looking For
- 10+ years of engineering experience across the full ML/AI product lifecycle
- Hands-on experience building and evaluating ML models and/or LLM systems for real product/business use cases
- Experience with personalization based on customer behavior (ideal) or transactions (acceptable)
- Proficiency in Python and modern ML frameworks (e.g., PyTorch) with hands-on model evaluation and monitoring in production
- Familiarity with LLMs and generative AI, including retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation
- Demonstrated product mindset: ability to translate ambiguous problems into scrappy MVPs and iterate quickly on data and user feedback
- High ownership and bias for action in 0-to-1 environments
- Nice to have: Martech experience with analytical/go-to-market/business angle
- Nice to have: academic or research background
Nice to Have
- Martech experience with analytical angle (go-to-market or business use case)
- Academic or research background that can help innovate and develop novel methods
Compensation & Benefits
- Local Pay Range $192,000—$260,000 USD
- Eligible for annual performance bonus, equity, and benefits listed above
- Benefits details vary by region; check the company page for specifics.