Senior Staff Machine Learning Engineer, Consumer at DoorDash

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. The Consumer Engineering Team is responsible for helping consumers discover and order everything they love globally. Our work spans the entire consumer journey across homepage, search, store discovery, item exploration, checkout and post checkout.

Key responsibilities

• Drive the engineering vision, strategy, and execution for an organization of 150+
• Grow, build, and nurture impactful business-focused product engineering teams
• Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space
• Partner with Business, Product, and other Engineering teams to transform DoorDash from local commerce to agentic commerce

Requirements

• 10+ 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) in the full software development lifecycle, including designing, generating code, testing
• Proven ability to drive multi-quarter technical roadmaps as a technical lead, with clear ownership of architectural decisions
• Deep expertise in deep learning, and fine-tuning
• Strong technical intuition paired with the ability to influence and align cross-functional stakeholders
• Humility and growth mindset, leading through expertise and collaboration, not hierarchy

Location and schedule

• Onsite in San Francisco, California

Salary and benefits

US base salary $282,100 to $414,800 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.