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

Staff Machine Learning Engineer, CustomerLake (ML/LLM)

Databricks

1 day ago

4.1 on Glassdoor

New York, New York, United States

Onsite

Full Time

Senior

0 applicants

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About this role

The Staff Machine Learning Engineer will join a small team in New York City to build CustomerLake, a Customer Data Platform on Databricks that brings enterprise-grade ML and AI personalization to companies. The role involves evaluating and improving ML and LLM models for personalization use cases, building evaluation frameworks, and setting technical foundations for scalable AI solutions. This position requires a strong engineering background with practical experience in shipping ML/AI products and a product mindset to drive innovation from 0 to 1.

Responsibilities

Evaluate ML and LLM approaches for personalization use cases
Build platform and evaluation framework for business value optimization
Set technical foundation and best practices for ML/AI personalization work

Skills

About Databricks

databricks.com

Headquarters

San Francisco, California, United States

Company Size

5001-10000 employees

Founded

2013

View Profile

Databricks is a unified Data Intelligence Platform that helps organizations build, deploy, and manage data, analytics, and AI at scale. Built on Apache Spark and Delta Lake, it provides a “lakehouse” architecture that combines data engineering, ETL, data warehousing, streaming, and machine learning (including MLflow and feature store) in a single managed service. The platform includes collaborative notebooks, scalable compute across major clouds, and built‑in governance, security, and performance optimizations. Enterprises use Databricks to simplify data pipelines, accelerate model development with a data‑centric approach, and operationalize analytics and AI.