Principal Software Engineer - Machine Learning

Principal Engineer In Ai And Ml

Where data does more. 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.

As Principal Software Engineer in AI and 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.

Ideal Principal Software Engineer will have:

• 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 an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.