AI/ML Infrastructure Engineer

Location: Menlo Park, California, United States; telecommuting permitted

Base salary: $221,187–$287,500 per year

Company

Snowflake develops cloud data platforms for enterprise transactional and analytical data workloads.

What you will do

• Design, develop, and maintain AI/ML observability systems and backend infrastructure for large-scale data processing, storage, and data movement.
• Implement sketch-based data aggregation and machine learning metrics for monitoring and evaluating ML and Generative AI models.
• Develop infrastructure for reliable training, deployment, and monitoring of machine learning workloads at scale.
• Build platform features for scalable ML and Generative AI use cases while improving performance, reliability, and resource efficiency.
• Lead the design and implementation of machine learning observability, data infrastructure, and model explainability capabilities for customer-facing products.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, Electrical Engineering, or a related field.
• Five years of progressive post-baccalaureate experience in the offered role or a related occupation.
• Experience designing and building database systems, compilers, developer tools, data warehouses, and large-scale data processing solutions.
• Experience developing applications using Java and working with SQL and other database technologies, including internal database components.
• Experience building enterprise-grade reliable software and services, including implementation, testing, debugging, documentation, query compilation, and compiler systems.
• Experience contributing to Apache Software Foundation open-source projects, including big data and Hadoop ecosystem initiatives.

Culture & Benefits

• AI-native, experimental approach to solving problems and improving how work gets done.
• Environment focused on challenging conventional thinking and accelerating innovation.
• Telecommuting is permitted for this role.