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Technology & IT

Staff Software Engineer, Machine Learning (San Francisco)

On-site · San Francisco, California Senior USD 204k–299k / yr Posted 4 days ago International
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About the role

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Software Engineers, Machine Learning to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers.

Key responsibilities

  • Develop advanced machine learning models to improve ads efficiency and quality
  • Design and build optimization algorithms for budget pacing and automated bidding to achieve various advertising goals
  • Establish a data-driven framework to understand how the bid density and market competitiveness would affect advertising value and platform revenue
  • Embeddings and consumer profiles) to target the relevant audience
  • Be responsible for the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation
  • Build and extend the current data/ML infrastructure to empower Ads data applications including data analysis, ML modeling, and experimentation

Requirements

  • In a technical field such as computer science, mathematics, statistics, physics or equivalent
  • 8+ 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 $203,500 to $299,300 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.

Doordash
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