DoorDash

Technology

SeniorStaffMachineLearningEngineer

$350–650k ~AI est. Sunnyvale, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Staff Machine Learning Engineer at DoorDash. Skills: Machine Learning, Personalization strategy, Recommendation system. Set personalization strategy. Implement ML solutions”

Industry & Context.

Technology
Problems you'll solve

Solving end-user problems

What They're Looking For.

Must Have

B. S. or M. S. in Computer Science, 10+ years industry experience, Shipping ML solutions to production, Proficiency in AI coding tools, Proven ability to drive roadmaps, Deep expertise in deep learning, Hands-on experience optimizing LLM systems

Nice to Have

M. S. in Computer Science

What You'll Do.

Set personalization strategy

Implement ML solutions

Modernize recommendation system

Drive engineering vision

Grow product engineering teams

Develop leaders internally

Attract world-class talent

Set architectural patterns

How You'll Work.

Team & Collaboration

Multi-disciplinary teams; Cross-functional stakeholders; Business teams; Product teams; Engineering teams

Process & Methodology

Technical roadmaps

Full Job Description

About the Team 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. We aim to craft a hyper-personalized, delightful and frictionless experience for millions of our customers. About the Role As a Senior Staff Machine Learning Engineer on Core Cx, you will set the personalization (P13n) strategy for the entire consumer shopping journey and bring that strategy to life. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across restaurant, grocery, retail and all business at DoorDash . You will modernize the recommendation system leveraging AI. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You're excited about this opportunity because you will… Drive the engineering vision, strategy, and execution for an organization of 150+ Grow, build, and nurture impactful business-focused product engineering teams. Scale the team by developing leaders internally and attracting world-class talent Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road. Partner with Business, Product, and other Engineering teams to transform DoorDash from local commerce to agentic commerce We're excited about you because you have… B. S. or M. S. in Computer Science or equivalent. 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 sof

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