Staff ML Engineer - Personalization & Growth (Hybrid)

DoorDash USA; San Francisco, Sunnyvale (CA, CA); Hybrid; USD 204,000 - 299,000; Full time

Benefits offered by this job

Equity grants

401(k) plan with employer matching

Paid parental leave

Medical, dental, vision benefits

Job summary

DoorDash is seeking a Staff Machine Learning Engineer for Personalization in San Francisco Bay Area to design, implement, and validate production ML solutions that drive growth and personalization across grocery and retail delivery.

You will mentor teammates, partner with engineering and product leaders to shape the roadmap, and contribute to a scalable ML platform in a hybrid work setting with in-office and remote days.

Qualifications

• 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production.

Responsibilities

• Develop production machine learning solutions to build a world class personalized shopping experience across diverse retail space.

Skills

ML model development

Production ML

Python

PyTorch

TensorFlow

Data analysis

Communication to nontechnical

Causal Inference

Recommendation Systems

Experimentation & testing

Education

MS or PhD in Statistics/CS/Math/OR/Physics/Economics

Tools

PyTorch

TensorFlow

Python

Claude Code

Codex

Cursor

Job description

DoorDash is seeking a Staff Machine Learning Engineer for Personalization in San Francisco Bay Area to design, implement, and validate production ML solutions that drive growth and personalization across grocery and retail delivery.

You will mentor teammates, partner with engineering and product leaders to shape the roadmap, and contribute to a scalable ML platform in a hybrid work setting with in-office and remote days.