Senior Software Engineer, Machine Learning

What you'll do

• Design and implement algorithmic improvements to the catalog system and product knowledge graph.
• Develop advanced machine learning models to improve core components of the team's scope.
• Manage the end-to-end ML lifecycle including ideation, training, deployment, and post-launch monitoring.
• Build and scale data and feature engineering pipelines using Pyspark and Snowflake SQL.
• Create novel ML and AI solutions to improve product accuracy and discoverability.
• Own projects end-to-end while mentoring junior and mid-level engineering peers.
• Scale systems and services to support the growth of the retail delivery business.

What we're looking for

• M.S. or PhD. in a technical field such as computer science, mathematics, statistics, physics, or equivalent.
• 5+ years of ML industry experience with a solid understanding of machine learning algorithms and fundamentals.
• Proficiency in using AI coding tools in the full software development lifecycle.
• Experience building data/feature engineering pipelines at scale using Pyspark and Snowflake SQL.
• Experience building production machine learning systems using frameworks such as PyTorch, Keras, lightgbm, scikit-learn, or Spark ML.