DoorDash USA
Open positions
Senior Machine Learning Engineer, New Verticals Agentic Foundations
Senior ML engineer on DoorDash's New Verticals Agentic Foundations team, owning and improving LLM-based production agents (starting with the Ask grocery assistant) through eval-driven iteration, fine-tuning open-weights/SLM models, and balancing quality, latency, and cost. Works in Python with PyTorch/TensorFlow; hybrid role based in Seattle.
Staff Machine Learning Engineer, Personalization
Staff ML engineer on DoorDash's Personalization team designing, implementing, and shipping production machine learning for growth and personalization in grocery/retail consumer search, using causal inference and recommendation systems. Hybrid role in San Francisco; core stack is Python with PyTorch/TensorFlow.
Staff Machine Learning Engineer, Fulfillment Planning
Staff ML Engineer on DoorDash's Fulfillment Planning team, building and operating large-scale production ML systems for real-time delivery assignment, routing, batching, and ETA/fulfillment estimation. Day-to-day is hands-on Python and deep learning framework work, plus setting modeling standards and mentoring engineers.
Staff Software Engineer, Machine Learning
Staff ML engineer at DoorDash building production machine learning for the ads platform (budget pacing, automated bidding, audience targeting/embeddings) and the catalog product knowledge graph, owning the full ML lifecycle from training through deployment and experimentation. Stack includes PyTorch, PySpark, and Snowflake; hybrid role in Seattle.
Senior Machine Learning Engineer, Drive
Senior ML Engineer on DoorDash's Drive team, owning machine learning systems end-to-end for delivery/pickup ETA prediction, merchant prep-time estimation, order release optimization, and LLM/VLM-powered delivery quality signals, using Python, PyTorch, Spark and Airflow; based in San Francisco, Sunnyvale, or Seattle.
Senior Software Engineer, Machine Learning
Senior ML engineer on DoorDash's grocery/retail delivery team, building algorithmic and machine learning improvements to the catalog system and product knowledge graph. Owns the full ML lifecycle—training, deployment, experimentation, monitoring—using tools like PyTorch, PySpark, and Snowflake.
Principal Machine Learning Engineer, Ads & Promos Delivery
Principal ML engineer at DoorDash leading the technical direction for AI-first ads ranking and relevance systems — designing sequence models, deep learning, and LLM-powered decisioning for real-time ad selection and personalization. Owns the full model lifecycle from research to production using Python/Java/C++ and frameworks like PyTorch.
Engineering Manager, Merchant, AI/ML
Leads DoorDash's Merchant AI/ML team, managing ML engineers who build production AI systems for restaurant merchants — onboarding, menu understanding/generation, metadata intelligence, and agentic automation. Day to day is people leadership, roadmap setting, and cross-functional work using LLMs, multimodal learning, and generative AI at scale.
Senior Staff Machine Learning Engineer
Senior Staff ML Engineer on DoorDash's Ads & Promos Delivery team, setting technical direction for AI-first ads ranking and relevance systems — applying sequence modeling, deep learning, and LLMs to personalization and query understanding, and owning the full model lifecycle from research through production at marketplace scale.
Senior Staff Machine Learning Engineer, Consumer
Senior staff-level ML engineer at DoorDash who owns the personalization strategy for the entire consumer shopping journey (search, discovery, checkout) and modernizes the recommendation system with AI/LLMs. Day to day: driving technical vision for a 150+ person org, shipping production ML models, and leading architecture across cross-functional teams.