Staff Machine Learning Engineer, Personalization at DoorDash

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business.

Key responsibilities

• Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space
• Partner with engineering and product leaders to help shape the product roadmap applying ML
• Mentor junior team members, and lead cross functional pods to create collective impact

Requirements

• 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
• 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
• Machine learning background in Python; experience with PyTorch or TensorFlow preferred
• Ability to communicate technical details to nontechnical stakeholders

Location and schedule

• Onsite in San Francisco, California

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.