Senior Software Engineer, Machine Learning (San Francisco)

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. 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

Key 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
• 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

Requirements

• 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
• 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

Location and schedule

• Onsite in San Francisco, California
• This role is hybrid with some in-office time expected and will report to an Engineering Manager

Salary and benefits

US base salary $167,800 to $246,800 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.