Senior Software Engineer, Machine Learning
About The Position
As a Senior Software Engineer, Machine Learning, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams. We expect Senior Engineers to be able to own projects end-to-end and mentor their junior and mid level peers. This role is hybrid with some in-office time expected and will report to an Engineering Manager.
Requirements
- M.S., or PhD. in a technical field such as computer science, mathematics, statistics, physics or equivalent.
- 5+ years ML industry experience with a solid understanding of machine learning algorithms and fundamentals.
- Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
- Experience building data/feature engineering pipelines at scale using Pyspark and Snowflake SQL.
- Experience with building machine learning systems in production by using frameworks such as PyTorch, Keras, lightgbm, scikit-learn, Spark ML, or related.
Responsibilities
- Develop advanced machine learning models to improve core parts of your teams scope.
- Be responsible for the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurement.
- Work on creating novel ML & AI solutions that push both our business and the industry forward.
- Scale our systems and services to fuel the growth of our business.
- Completely disrupt logistics by tackling bleeding-edge, technical problems
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- wellness benefits
- commuter benefits match
- paid time off
- paid sick leave
- medical benefits
- dental benefits
- vision benefits
- 11 paid holidays
- disability insurance
- basic life insurance
- family-forming assistance
- mental health program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
