Senior ML Security Engineer, Snowflake

• Strong interest in the synthesis of machine learning and security engineering: you should be comfortable discussing threats that apply to machine learning (e.g. training data leakage, prompt injection, multi-tenancy workloads, membership inference, etc.)
• Experience in reviewing design and implementation of multi-component software systems, especially those which are reliant on homegrown or third-party LLMs and APIs
• Ability to automate tasks, collect, integrate and analyze data from multiple sources
• Ability to design and write program/design specifications for self and others
• Strong communicator who is comfortable working cross-functionally, with a track record of independence and delivering results
• Able to work across team boundaries, reach consensus amongst disparate view points, and graciously receive feedback
• Fluency in SQL

Desirable

• The Product Security team is responsible for securing the Snowflake product and platform, and ultimately protecting the company mission of mobilizing the world’s data. Machine learning is a major driver of Snowflake’s growth as our customers want to build and deploy ML models to turn their Snowflake data into powerful insights
• As a member of the Security Assurance team, you’ll be responsible for maintaining (and raising) the security bar across our suite of ML products
• We are looking for a motivated, passionate expert in ML security who can help us build a world class security experience for our product development partners
• Take an active part and lead efforts in the team that designs, plans, and implements ML features and projects to integrate with and verify the security architecture of Snowflake
• Lead with code, automation and data in everything you do: special focus is placed on frameworks, automation and tooling to increase ML engineer autonomy, detect security policy violations, and driving security outcomes through data consumption and enrichment
• Work alongside ML engineering and security teams, providing expert leadership and advice on secure architecture, design, and implementation for machine learning solutions
• Create and scale developer-friendly security products and tools
• Create security impact across teams, with strong support from the business
• Build a world class security experience for ML engineers, researchers and data scientists