Staff Machine Learning Engineer, CustomerLake (ML/LLM)

<p><em>RDQ427R109</em></p> <p data-pm-slice="1 1 "> </p> <p>At Databricks, we are passionate about enabling data teams to solve the world&39;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&39;s best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we&39;re only getting started.</p> <p data-pm-slice="1 1 "> </p> <p>As one of the first engineers in the NYC Engineering office, you&39;ll join a small, nimble team building new products from the ground up. We&39;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. Our goal is to deliver that same capability to companies that don&39;t have an in-house team but already have their data in order on Databricks. This is a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.</p> <p data-pm-slice="1 1 "> </p> <p><strong>The impact you&39;ll have:</strong></p> <ul> <li>Evaluate ML and LLM approaches for CustomerLake&39;s personalization use cases, push the models and algorithms forward, and continuously improve quality over time</li> <li>Go deep on how