✦ Luna Orbit — AI & Machine Learning

Software Engineer - Machine Learning Feature Store

at Snowflake

📍 US-WA-Bellevue Unknown Posted March 07, 2026
Type Not Specified
Experience mid
Exp. Years 2+ years
Education Not specified
Category AI & Machine Learning

Snowflake is hiring a Software Engineer to develop and enhance its Machine Learning Feature Store, focusing on feature transformations, low latency serving, and scalable ML infrastructure.

  • Build features for the Feature Store
  • Implement low latency data serving
  • Develop ML pipelines
  • Optimize feature transformations
  • Collaborate with engineering teams

The role involves building data-intensive systems for ML feature management, utilizing Python and related tools to support high-performance, low latency ML workflows.

The ideal candidate is a mid-level software engineer with at least 2 years of experience in building data-intensive machine learning systems, proficient in Python and familiar with feature management and low latency data serving.

2+ years industry experiencebuilding data-intensive systemsPython or Javafeature management
ML data managementstreaminglow latency data serving
Snowflake Feature StoreML pipelines
PythonMachine LearningFeature StoreLow latency data servingML pipelinesfeature transformations
PythonPython (programming language)Machine LearningFeature Storelow latency data servingML pipelinesfeature transformations
collaborationproblem-solvinglearning mindset
Industry SaaS
Job Function Develop scalable ML feature management systems
Software EngineerMachine LearningFeature Storelow latency data servingML pipelinesfeature transformationsPythonData-intensive systemsSnowflakeML data managementFeature transformationsBuilding data systems

Less than 2 years of experience, No experience with data-intensive systems, Lack of Python or Java skills, No familiarity with feature stores or ML pipelines

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