Engineering Manager, Merchant, AI/ML
AI summary of the role
Lead the Merchant AI/ML team at DoorDash, driving the design and deployment of production-grade AI/ML solutions for the merchant ecosystem.
What you’ll do
- Lead and grow a team of AI/ML engineers developing production-grade machine learning and generative AI solutions for the merchant ecosystem.
- Define a multi-year strategy and execute the AI roadmap across key Mx pillars — Onboarding, Menu Media Understanding & Generation, Menu Metadata Intelligence, and Agentic Task Automation.
- Partner with product and operations to translate merchant pain points into scalable AI-powered solutions.
- Own the end-to-end lifecycle of ML systems — from ideation and experimentation to productionization and continuous improvement.
What you’ll bring
- 7+ years of industry experience in machine learning and AI engineering.
- 2+ years of leadership experience managing applied scientists and ML engineers.
- Proven track record of building and deploying AI/ML systems at scale with shipped AI-powered products reaching millions of users.
- Broad knowledge of ML and technical depth in computer vision, NLP, generative models, or large-scale agent systems.
Technologies
LLMs · multimodal learning · generative AI · agentic automation · computer vision · natural language processing · large-scale agent systems · ML systems · GenAI
About DoorDash
Three-sided local-commerce marketplace connecting consumers, merchants, and Dashers for on-demand delivery of food, groceries, and retail goods.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Team The Merchant (Mx) AI/ML team is a cornerstone of DoorDash’s merchant organization. We empower our restaurant partners to thrive on DoorDash by building intelligent, scalable AI systems that simplify operations, elevate their digital presence, and enhance customer engagement. Our world-class machine learning engineers develop production-grade AI solutions that power the entire merchant lifecycle — from onboarding and store setup to menu management, growth, and real-time order operations. The team is deeply customer-obsessed and impact-driven, focused on turning cutting-edge research in LLMs, multimodal learning, generative AI, and agentic automation into products that make our merchants more successful every day. About the Role We’re looking for an Engineering Manager to lead the Mx AI/ML team, driving the design and deployment of next-generation AI product solutions
More from the job description
About the Team The Merchant (Mx) AI/ML team is a cornerstone of DoorDash’s merchant organization. We empower our restaurant partners to thrive on DoorDash by building intelligent, scalable AI systems that simplify operations, elevate their digital presence, and enhance customer engagement. Our world-class machine learning engineers develop production-grade AI solutions that power the entire merchant lifecycle — from onboarding and store setup to menu management, growth, and real-time order operations. The team is deeply customer-obsessed and impact-driven, focused on turning cutting-edge research in LLMs, multimodal learning, generative AI, and agentic automation into products that make our merchants more successful every day. About the Role We’re looking for an Engineering Manager to lead the Mx AI/ML team, driving the design and deployment of next-generation AI product solutions that power our merchant experiences. This is a highly cross-functional leadership role — you’ll collaborate with product, design, operations, and data science teams to define the AI roadmap, guide technical direction, and deliver end-to-end AI/ML solutions at massive scale. You’ll lead a team of talented ML engineers who are building real AI products delivered to merchants’ fingertips, helping them become more successful on DoorDash. You’re excited about this opportunity because you will… Lead [... source excerpt omitted ...] ith product and operations to translate merchant pain points into scalable AI-powered solutions. Own the end-to-end lifecycle of ML systems — from ideation and experimentation to productionization and continuous improvement. Drive innovation in multimodal AI, LLM-driven assistants, and GenAI content creation. Foster a strong engineering culture emphasizing experimentation, reliability, and measurable business impact. Mentor and develop engineers, shaping the next generation of applied AI leadership at DoorDash. You can find out more on our ML blog here We're excited about you because you have… 7+ years of industry experience in machine learning and AI engineering, including [... source excerpt omitted ...] passion for building teams, mentoring talent, and cultivating an inclusive, high-impact culture. Experience at the intersection of product and engineering, using AI to solve real customer problems. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound agai
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