DoorDash
Technology
SeniorStaffMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Staff Machine Learning Engineer at DoorDash. Skills: Machine Learning, Personalization strategy, Recommendation system. Set personalization strategy. Implement ML solutions”
Industry & Context.
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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