Software Engineer, Snowflake

• This role is ideal for candidates who can span the functions of data scientist and research scientist, while maintaining robust software engineering practices and collaborating with diverse stakeholders—using internal research to power real-world, production-ready ML solutions
• PhD or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field, with research or industry experience in real-world machine learning applications
• Proficiency in Python and core ML/data science frameworks including Pandas, NumPy, Scikit-Learn, XGBoost, PyTorch, and related ecosystem tools
• Demonstrated hands-on experience solving applied ML problems end-to-end: data ingestion/preprocessing, feature and model selection, training, evaluation (with best practices on versioning, bias, and validation), deployment, and monitoring
• Strong software engineering fundamentals: code quality, reproducibility, CI/CD best practices, debugging, testing, and documentation
• Familiarity with ML operations (MLOps), data/feature versioning, and collaborative software development (Git, containers, etc.)
• Strong communication and teamwork skills; able to describe technical tradeoffs and engage both research scientists and software engineers

Desirable

• We are seeking a Software Engineer to join a joint R&D initiative between the Engineering Systems Team and Snowflake AI Research team
• This team drives innovation at the intersection of machine learning and developer productivity, with flagship projects such as ML-powered test systems and LLM-powered code review and automation tools
• The team supports both product-facing ML initiatives and internal systems optimization, accelerating Snowflake’s thought leadership and operational excellence in enterprise AI
• Partner across research and engineering to design, implement, and maintain machine learning systems that directly impact developer workflows and core platform efficiency
• Develop, evaluate, and deploy ML models for automation in CI/CD pipelines, using real-world code and data from large, complex codebases
• Build and optimize LLM-based tools for code review, quality automation, and developer assistance, from research prototype to robust production deployment
• Contribute to the improvement of internal ML and data tooling, pipelines, and collaboration between AI Research and Engineering Systems
• Collaborate on open-source releases, research publications, and developer community engagement efforts
• Operate across the software lifecycle: requirements, design, implementation, delivery, testing, iteration, and support
• Contribute to a culture of innovation, excellence, and inclusion in a collaborative and fast-paced environment
• This is a rare opportunity to collaborate across Snowflake’s leading AI research and engineering system organizations, shaping the next generation of intelligent developer tools and ML-powered infrastructure
• You’ll work with world-class researchers and engineers, operate at scale, and have impact across both the open-source community and internal Snowflake engineering
• The role offers career development opportunities in ML engineering, research, and advanced software systems, in a values-driven, inclusive environment that values curiosity, impact, and technical excellence