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# Staff Machine Learning Engineer - DashPass

- **Company:** DOORDASH, INC.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $137,100.0 - $201,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), C++ (Programming Language), Computer Programming, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Build Management, Information Technology, Xgboost, Machine Learning Operations
- **Published:** June 21, 2026
- **Apply:** https://www.juju.com/job/00000000g9s0mi

## About the Role

+ M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.

 + 8+ years of industry experience building production-scale ML systems.

 + 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

 + Strong understanding of probability theory, statistics, and machine learning fundamentals.

 + Strong programming skills in Python, Java, or C++, and experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost.

 + Interest in building and leading a new team that has broad impact across a wide range of problem spaces to support a critical business line.

 + Proven ability to lead cross-functional initiatives and drive complex technical projects end-to-end.

 + Excellent communication skills - able to explain technical concepts to product, business, and engineering audiences.

 + Experience in subscriptions growth or marketplace systems is a plus.

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

## Description

We're looking for a Staff Machine Learning Engineer to drive the design and development of large-scale ML/optimization systems to target personalization efforts across the DashPass Subscriber journey.

You're excited about this opportunity because...

 + Contribute to Causal inference modeling to measure the incremental impact of DashPass Subscriber acquisition and retention strategies.

 + Incentive optimization frameworks that personalize progressive rewards to improve spend efficiency.

 + Budget allocation and forecasting models that identify optimal spend across acquisition, referrals, and retention.

 + Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact DashPass subscriber growth metrics.

 + Provide technical mentorship and guidance to engineers and cross-functional partners - leading through influence, not management.

 + Build and deploy 0*1 ML systems that improve subscriber outcomes and marketplace health.

 + Set best practices for model training, evaluation, deployment, and monitoring

This is a highly impactful IC role for someone who enjoys combining economic intuition, large-scale ML modeling, and system design to solve complex real-world optimization problems.


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