GenAI Engineers (L4-L7)

Position Overview

As a Senior Applied AI Engineer at Databricks, you will apply machine learning, scheduling, and optimization algorithms to enhance the efficiency and performance of our engineering systems and infrastructure—from cluster management to query compilation. You will work on some of the toughest problems in the business, ensuring our products are as performant and cost-efficient as possible while making a high impact for our customers.

Key Responsibilities

• Build end-to-end systems from the ground up in a small team of experienced professionals.
• Shape the direction of our applied ML investments by collaborating with engineering and product teams across the company.
• Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products, infrastructure, and services.
• Architect and implement robust, scalable ML infrastructure including data storage, processing, model training, serving components, and monitoring systems.
• Work on novel modeling techniques in ML for systems.
• Contribute to the broader AI community by publishing research, presenting at conferences, and actively participating in open-source projects.

Required Qualifications

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies.
• Strong understanding of both computer systems and statistics.
• Broad knowledge or interest in mathematical modeling beyond conventional ML, including combinatorial optimization.
• Experience developing AI/ML systems at scale in production environments.
• Demonstrated ability in ML modeling that goes beyond standard libraries.
• Strong coding and software engineering skills, including testing, code reviews, and deployment best practices.
• Experience deploying, scaling, and monitoring models in production with a deep understanding of infrastructure challenges in Tier 0 environments.

Benefits & Perks

• Compensation: Local Pay Range of $166,000-$210,250 USD
• Comprehensive Benefits available (details at Databricks Benefits).
• Eligibility for an annual performance bonus and equity awards as part of the total compensation package.
• Opportunity to work from the Mountain View, CA office.