Why This Job is Featured on The SaaS Jobs
This role sits at a core intersection of modern SaaS and applied machine learning: productising ML infrastructure so it can be used reliably across teams and customer workloads. A feature store is not a standalone model project; it is shared platform capability that shapes how a SaaS company standardises feature definitions, governs data usage, and serves low latency ML signals inside products.
From a SaaS career perspective, the work builds durable experience in designing data intensive services that must be correct, observable, and performant over time. The emphasis on feature transformations, serving infrastructure, and operational excellence maps closely to recurring themes in SaaS platform engineering, including multi tenant reliability, backwards compatible APIs, and cross team integration across a broader product suite.
The listing signals a good match for engineers who prefer systems oriented ML work over model tuning, and who want to collaborate with partner teams to deliver end to end capabilities. It should suit someone early to mid career who is comfortable shipping in Java or Python and interested in turning new ML advances into robust, maintainable platform features.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
Design and build new features for the Snowflake Feature Store in collaboration with senior engineers.
Write, test, and deploy high-quality, scalable code in Java and Python.
Help incorporate new advances in machine learning into our platform.
Contribute to the operational excellence of our services by improving reliability and performance.
Collaborate with engineers on partner teams to build integrated and seamless ML solutions for customers.
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
2+ years of industry experience (or equivalent internship/project experience) designing and building data-intensive systems or software.
Strong programming skills in Python or Java.
A solid understanding of computer science fundamentals (data structures, algorithms, operating systems).
A passion for building scalable, high-performance systems.
A growth mindset and an eagerness to learn and solve complex problems.
BS in Computer Science or a related degree; MS/PhD is a plus.
Bonus Points: Experience with ML data management and/or streaming , low latency data serving infrastructure.
WHY JOIN OUR TEAM AT SNOWFLAKE?
You'll be at the forefront of innovation in machine learning infrastructure, working with cutting-edge technologies and solving complex challenges. Our team is driving the future of feature management and serving capabilities, making a direct impact on how organizations leverage machine learning. You'll have the opportunity to learn from talented engineers and contribute to products that are reshaping the industry.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
