P-1439
 
As Applied ML/AI Engineer at Databricks, you will define and create the Agentic Machine
Learning revolution. You will help world’s largest companies build and deploy massive
classical machine learning solutions (such as personalized recommendations, fraud detection,
dynamic pricing, forecasting) fully using Databricks’ agents and harnesses. After 30 years of
painfully slow progress, expensive knowledge acquisition and tedious processes in classical ML,
the agentic era has ushered innovation, scale and visibility for all: from the most junior data
scientists and machine learning engineers to the world class experts. You will work on
Databricks’ Genie Code, an agent and an ML “exoskeleton” that is authoring ML, training
and deploying models, monitoring and self-healing production ML, all at the top-expert level.
Additionally, you will develop ML solutions that under the hood address the most pressing
questions non-technical business people have today: predictive and what-if questions.
Your work is a top priority for Databricks and you will report to a Principal Software Engineer
(a Director level position).
The impact you will have:

Build agentic end-to-end systems in a small, highly international team of experienced engineers
in a flat and agile organization.
Build solutions for people like you: software engineers, ML engineers, data engineers, data
scientists and MLOps engineers.
Own our applied ML investment by engaging with engineering and product teams across the
company.
Drive the development and deployment of state-of-the-art ML/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 model training and
serving components to support seamless integration of AI/ML models into production
environments.
Work on novel forecasting techniques.
Possibilities to contribute to the broader AI community by presenting at conferences and
actively participating in open source projects, enhancing Databricks’ reputation as an
industry leader.

What we look for:

2-8 years of engineering experience in high-velocity, high-growth companies. Infrastructure and
system engineers with no ML background and willingness to excel in personal growth are welcome
to apply.
Strong software engineering skills, and familiarity with software engineering principles around
testing and deployment.
Experience developing AI/ML systems at scale in production and a strong track record of ML
modeling that goes beyond using standard libraries is a plus.
Nice to have: experience deploying, scaling, and monitoring models in production; understanding
of the unique infrastructure challenges posed by training and serving predictions in Tier 0
environments.

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact
with data and our products. You’ll have the opportunity to shape the future of AI-driven
products at Databricks, work with cutting-edge models, and collaborate with a world-class team
of AI and ML experts.
If you're excited about pushing the boundaries of AI in real-world applications, we’d
love to hear from you!About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including
adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 —
rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and
agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a
unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity
Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt
Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of
our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can
excel. We take great care to ensure that our hiring practices are inclusive and meet equal
employment opportunity standards. Individuals looking for employment at Databricks are
considered without regard to age, color, disability, ethnicity, family or marital status,
gender identity or expression, language, national origin, physical and mental ability,
political affiliation, race, religion, sexual orientation, socio-economic status, veteran
status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job
duties, it is within Employer's discretion whether to apply for a U.S. government license
for such positions, and Employer may decline to proceed with an applicant on this basis alone.