Principal Software Engineer - Machine Learning

Build the future of the AI Data Cloud. Join the Snowflake team.

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.

• 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?

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $243,000 - $379,500.
• Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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?