Staff ML Engineer: Personalization & Real-Time Optimization

DoorDash; San Francisco (CA); On-site; USD 137,100 - 201,600; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Comprehensive medical, dental, and vision benefits

Paid time off and paid sick leave

Wellness benefits

Job summary

DoorDash is seeking a Staff Machine Learning Engineer in San Francisco to drive the design and development of innovative ML systems for DashPass. In this role, you will work on personalization efforts enhancing subscriber engagement and retention through data-driven and technical solutions. The ideal candidate will have extensive experience in ML systems and a strong educational background in Computer Science or related fields. This role offers opportunities for equity and a comprehensive benefits package, including a 401(k) plan and paid parental leave.

Qualifications

• 8+ years of industry experience building production-scale ML systems.
• Strong understanding of probability theory, statistics, and machine learning fundamentals.
• Interest in building and leading a new team.

Responsibilities

• Contribute to causal inference modeling.
• Build incentive optimization frameworks.
• Develop budget allocation and forecasting models.
• Partner with Product, Data Science, and Engineering teams.
• Provide technical mentorship to engineers.

Skills

Causal inference modeling

Incentive optimization frameworks

Budget allocation and forecasting models

Cross-functional collaboration

ML system design

Education

M.S. or Ph.D. in Computer Science

Tools

Python

Java

C++

TensorFlow

PyTorch

XGBoost

Job description

DoorDash is seeking a Staff Machine Learning Engineer in San Francisco to drive the design and development of innovative ML systems for DashPass. In this role, you will work on personalization efforts enhancing subscriber engagement and retention through data-driven and technical solutions. The ideal candidate will have extensive experience in ML systems and a strong educational background in Computer Science or related fields. This role offers opportunities for equity and a comprehensive benefits package, including a 401(k) plan and paid parental leave.