DoorDash USA
Open positions
Cloud Data Engineer
Data Engineer on DoorDash's Tax Data Mart team, designing, building, and operating scalable ETL/ELT pipelines and warehouse data models (Snowflake, dbt, Python, Airflow/Spark/Kafka) to ensure data quality and support analytics across the company.
Staff Software Engineer, Event Streaming Systems
Staff-level individual contributor on DoorDash's Event Streaming Systems team (Storage org), setting multi-year technical direction for the Kafka-based event streaming platform (including diskless, object-store-backed architectures) that moves trillions of events per day across DoorDash, Wolt, and Deliveroo. Hybrid role requiring residence in the New York Metro Area.
Manager, New Verticals- Retail Strategy & Operations
About the Team The New Verticals team is building the future of local commerce through expanding our product offerings on our marketplace platform. We launched in 2020 and have since then built world-class operations…
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.
Software Engineer, Backend (All Teams)
Backend engineer at DoorDash (Seattle, hybrid) building and running large-scale services powering its three-sided delivery marketplace — defining backend architecture, migrating from monolith to microservices, and improving performance, reliability, scalability, and security using REST, SQL/NoSQL stores like Postgres and Redis, and AI coding tools.
Senior Software Engineer, Backend (All Teams)
Senior Backend Engineer at DoorDash builds and operates large-scale backend services powering its three-sided delivery marketplace, defines backend architecture for product areas, and helps migrate from a monolith to microservices while improving performance, reliability, and scalability using REST APIs, SQL/NoSQL stores (Postgres, Redis, Elasticsearch, RabbitMQ), and AI coding tools.
Staff Software Engineering, Backend (All Teams)
Staff Backend Engineer at DoorDash building and scaling the large-scale backend systems behind its on-demand delivery marketplace — setting technical direction, leading cross-team initiatives, and moving the monolith to microservices. Stack centers on REST services, SQL/NoSQL stores (Postgres, Redis, Elasticsearch, RabbitMQ) and AI coding tools.
Software Engineer, Data and AI Platform
Builds DoorDash's internal data and AI platform: BI reporting surfaces, agentic/LLM-powered analytics, semantic and metadata layers, and the query, federation, and caching infrastructure behind them, serving users across DoorDash, Wolt, and Deliveroo. Core stack is Go and Python backends on Snowflake, Spark, and ClickHouse with AWS and Kubernetes.
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.
Software Engineer, Data Engineering
Build and scale DoorDash's data infrastructure: design large-scale data models, ETL pipelines, and data lake/warehouse architectures powering reporting, product analytics, and financial decision-making. Core stack includes Python/Java, SQL, Spark, Kafka/Flink, Airflow, and Snowflake/Redshift on AWS/GCP.
Software Engineer, Data Platform
Software engineer on DoorDash's Core Data Platform team, building and scaling the frameworks behind its analytical data stack — ingestion, streaming/batch compute, tooling, and data governance — using Spark, Flink, Kafka, Airflow, and lakehouse tech. Requires 2+ years' experience and being based in or relocating to the Bay Area, Seattle, or New York.
Senior Software Engineering, Backend (All Teams)
Senior Backend Engineer at DoorDash's new São Paulo office, working across product and platform teams to build, release, and operate large-scale backend services, help migrate a monolith to microservices, and improve performance, reliability, and scalability, using SQL/NoSQL stores and AI coding tools.
Software Engineer, Backend - Product Engineering (Brazil)
Backend engineer at DoorDash in São Paulo (hybrid) building and operating large-scale services for its three-sided delivery marketplace: defining backend architecture, improving performance and reliability, and helping migrate a monolith to microservices. Works with REST APIs, Postgres, Redis, Elasticsearch, RabbitMQ, and AI coding tools.
Catering Concierge Specialist, DoorDash for Business
About the Team: DoorDash for Business is an exciting new arm of the DoorDash platform, focusing on providing meals solutions to companies. We're building and scaling new ways to delight our corporate customers, by…
Director of TPM
About the Team DoorDash’s centralized, global TPM organization helps Engineering deliver the company’s most complex and consequential technical, product, and business transformations. The team spans DoorDash, Wolt, and…
Staff Product Designer, Support
Staff Product Designer on DoorDash's Support Design team, shaping the full support experience for customers, dashers, and merchants — from mobile self-help, chatbot, and voice AI to internal case-management and agent tooling. Hybrid role (1–2 days/week in NYC) using LLM-powered tools alongside traditional design tools.