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# Staff Software Engineer, Machine Learning - Personalization

- **Company:** DOORDASH, INC.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $137,100.0 - $201,600.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Software Engineering, Pytorch, Large Language Models, Deep Learning, Information Technology
- **Published:** June 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3dfa4ff072f24b3f

## About the Role

Do you have experience in Software testing?, * 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production.

 * 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
 * M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
 * Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs is a plus.
 * Machine learning background in Python; experience with PyTorch or TensorFlow preferred.
 * Ability to communicate technical details to nontechnical stakeholders
 * You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
 * Desire for impact with a growth-minded and collaborative mindset

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

## Description

We're looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences 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 the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams.

You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid).


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