About the job
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.
Responsibilities
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
Qualifications
Minimum
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 software development lifecycle, including designing, generating code, testing, monitoring and releasing software
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. Hands-on experience optimizing LLM systems (e.g., fine-tuning, advanced prompting strategies, structuring JSON/tool-calling outputs).
Strong technical intuition paired with the ability to influence and align cross-functional stakeholders.
Preferred
No preferred qualifications listed.