Why This Job is Featured on The SaaS Jobs
This Applied Scientist role sits at an increasingly important intersection in SaaS: using AI to improve developer productivity inside a large, cloud-native platform. Rather than targeting end-user features, the focus is on code intelligence that influences how software is built, reviewed, and tested, which is a lever many scaled SaaS organisations invest in when engineering throughput and quality become strategic constraints.
For a long-term SaaS career, the work builds durable strengths in taking ML from prototype to production, including evaluation, telemetry, and online serving. The emphasis on measurable developer outcomes and A/B-style measurement aligns closely with how mature SaaS teams justify platform investments. Experience integrating models into CI/CD and repository workflows also translates across SaaS companies that run complex engineering systems and need reliable internal tooling.
This role fits professionals who prefer applied research with clear operational accountability, and who enjoy collaborating with engineering systems teams to land changes in real workflows. It will suit someone comfortable balancing rapid iteration with reliability and safety considerations, and who wants their ML work to be judged by adoption and engineering impact rather than standalone model metrics.
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.
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.
We’re seeking an AI Applied Scientist to drive Code Intelligence at Snowflake. Your mission: build AI-powered capabilities that supercharge developer efficiency and elevate developer experience for both Snowflake engineers and our customer developers. You’ll turn cutting-edge ideas into dependable tools—shipping systems that make coding, reviewing, and testing faster, safer, and more delightful at scale.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
Build AI features that move the needle on developer outcomes—accelerating PR cycle time and time-to-first-commit, reducing review latency and defects, improving test coverage, and raising developer satisfaction.
Design and deliver systems in three focus areas: automated testing, code review assistance, and coding agents that integrate with repos and workflows.
Prototype quickly and iterate, then productionize and harden solutions for reliability, performance, and safety, with a strong bias toward shipping impact.
Develop end-to-end ML pipelines: data preparation, training/fine-tuning, evaluation, and online serving—including experiment design, telemetry, and A/B measurement.
Collaborate closely with Engineering Systems (our developer productivity team) to integrate into build, test, and deployment workflows.
Write clear, maintainable Python and work across the stack to design, implement, and debug components from modeling to services and evaluation harnesses.
Contribute to a culture of high-quality engineering: code health, documentation, and grounded decision-making informed by data.
Write technical blogs and research papers to share your findings.
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
MS or PhD in Computer Science (or related field).
Strong Python skills and fluency with a commonly used ML stack (e.g., PyTorch and XGBoost or similar).
Hands-on experience building ML data pipelines, plus a habit of rigorous evaluation and experiment design.
Familiarity with serving stacks and vector stores; comfort learning what you don’t know.
Eagerness to learn build systems and CI/CD. Previous experience with build systems and CI/CD is a plus but not required.
Bonus (nice to have—not all required): LLMs for code, program analysis/ASTs, retrieval/RAG, prompt engineering & eval, large-scale A/B testing, backend/service development, and familiarity with OLAP systems like Snowflake.
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
