Check your CV before you apply
See your score the way hiring software reads it. If it needs work, build a stronger resume in the same place.
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.
Source: Direct · THE BRIEFED never charges candidates.
Similar roles
More Technology & IT roles near this one