Senior Applied AI Engineer – ML for Systems & Infrastructure

Tech Stack

Responsibilities

• Build end-to-end systems from the ground up in a small, experienced team.
• Shape the direction of applied ML areas by engaging with engineering and product teams.
• Drive the development and deployment of state-of-the-art AI models and systems to impact Databricks' products and infrastructure.
• Architect and implement robust, scalable ML infrastructure, including data processing, model training/serving, and monitoring.
• Work on novel modeling techniques in the field of ML for Systems and contribute to the broader AI community.

Benefits

• Equity

Culture

Requirements