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.
Build the future of machine learning within Snowflake! We're building cutting-edge ML infrastructure and AI-powered agents to empower users to effortlessly build and deploy powerful models directly on their data. Join us to solve real-world ML challenges at scale and deliver a massive leap in ML developer experience. We aim to build highly integrated products that are simple, secure, scalable and enable end to end ML workflows. We deliver AI powered ML tooling, highly optimized runtimes that power interactive and batch ML workloads for both structured and unstructured data, offline/online feature stores and MLOps capabilities.
We are seeking a highly experienced and visionary Principal Engineer to lead our efforts in revolutionizing data scientist/MLE productivity through the strategic application of Generative AI to machine learning workflows. This is a unique opportunity to shape the future of data science and ML by building cutting-edge agentic tools and platforms that empower our customers to innovate faster and more efficiently. You will work closely with cross-functional teams including product and research, to identify key challenges and develop innovative solutions that challenge the status quo in the industry.
AS PRINCIPAL SOFTWARE ENGINEER IN AI & ML YOU WILL:
Build customer facing AI based services and platforms for machine learning .
Design and implement highly scalable distributed platforms within the global Snowflake platform.
Participate in decision-making processes on technical or business issues.
Collaborate with engineers across teams to help deliver cross-functional initiatives.
Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance.
10+ years experience building large-scale AI/ML systems. Proven leadership as a Principal Engineer focused on ML developer tools and platforms.
Passionate about AI/ML infrastructure and applications of LLMs.
Deep multi-faceted appreciation in building end-to-end customer facing products. Experience working with cross teams, research teams and product managers.
Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems (Fluency in Python, or Java preferred)
Familiarity or (preferred) expertise with machine learning and deep learning frameworks like Pytorch, XGBoost, etc.
BS/MS/PhD in Computer Science or related majors.
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
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What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data.
We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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