← All roles

Staff Machine Learning Engineer, CustomerLake (ML/LLM)

Databricks· Engineering
Apply on company site
New York City, NY$192k - $260kfull-timePosted 3mo ago

About the role

Staff ML Engineer role focused on CustomerLake, Databricks’ Customer Data Platform, to enable enterprise-grade ML/AI personalization. 0-to-1 environment in NYC with a small, nimble team building new products from the ground up.

Responsibilities

  • 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

Qualifications

  • 10+ 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
  • Experience with personalization based on customer behavior (ideal) or transactions (acceptable)
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands-on experience in model evaluation and monitoring AI quality in production
  • Familiarity with LLMs and generative AI, including retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation
  • Demonstrated product mindset and ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly
  • High ownership and bias for action in 0-to-1 environments

Skills

Required:PythonPyTorchLLMs / Generative AIProduct mindsetProduction ML monitoringPersonalization domains

Benefits

  • Benefits information available via regional link in job posting.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

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 Intelligence Platform.

AIanalyticsbig datadatadata warehousingenterprise-infrastructuregovernanceliquid-ai-recruiting-target
Company profileWebsite

More open roles at Databricks