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Build and deploy large-scale ML systems to personalize offers and incentives for DoorDash’s DashPass loyalty program, optimizing subscriber acquisition, retention, and churn reduction.
Build and deploy large-scale ML systems that power real-time logistics decisions like delivery assignment and ETA estimation, shaping DoorDash’s fulfillment efficiency and cost.
Staff Software Engineer designs and maintains DoorDash’s global backend systems for its 3-sided marketplace, using modern web stacks, microservices, and databases to improve scalability and reliability.
Lead the design and scaling of DoorDash’s data infrastructure, building reliable pipelines and models for analytics, reporting, and financial systems using Python/Scala, Spark, Airflow, and streaming tech.
Builds and deploys ML models for personalization and growth, focusing on recommendation systems and causal inference to enhance DoorDash’s grocery/retail search experience using PyTorch/TensorFlow in Python.
Designs and integrates next-generation autonomous delivery systems by defining requirements, interfaces, and safety standards for hardware, software, and operations teams.
Lead program management for DoorDash’s autonomous delivery robot stack, coordinating cross-functional teams to move autonomy features from concept to public-road deployment.
Lead the architecture and evolution of DoorDash’s event streaming platform (Kafka, WarpStream, AutoMQ) that handles trillions of events daily, setting multi-year technical strategy and solving distributed-systems challenges at massive scale.
A Staff Machine Learning Engineer focuses on causal inference at DoorDash, building production systems for uplift models, counterfactual evaluation, and connecting experiments with ML to drive decisions across new verticals like grocery and retail.
Designs, builds, and productionizes causal ML systems (uplift models, heterogeneous treatment effect, counterfactual evaluation) for DoorDash's New Verticals (grocery, retail, etc.) to influence marketplace decisions like promotions and recommendations.
Leads technical programs for DoorDash’s New Verticals, expanding grocery, convenience, and retail fulfillment. Bridges product, engineering, and operations to execute scalable, high-impact initiatives across interconnected systems, ensuring technical strategy aligns with business goals.
Staff Security Engineer at DoorDash designing, building, and operating core security services (remote access, secrets management, tokenization, access control) at scale using Java/Scala/Kotlin or Go, Terraform, and AWS/GCP infrastructure.
Lead product design for DoorDash's Core Dasher Growth team, shaping 0-to-1 financial and growth experiences for Dashers. Use design tools, code editors, and LLMs to prototype, build, and ship high-fidelity solutions at massive scale.
Staff Product Designer on DoorDash's Integrity team, designing trust, safety, fraud, and compliance experiences across a three-sided marketplace (Consumer, Dasher, Merchant) using traditional design tools and LLM-powered tools in a hybrid NYC role.
Staff Product Designer at SevenRooms (DoorDash) builds reusable design tools and frameworks that scale across teams, using AI-powered workflows to ship high-impact hospitality software.
Designs support experiences for customers, dashers, and merchants, spanning mobile self-help, chatbots, and internal tools, using both traditional and LLM-powered design workflows.
Staff Product Designer at DoorDash leads end-to-end campaign experience design for Ads & Promos, shaping strategic marketing tooling for SMB/enterprise restaurants. Focuses on scaling design workflows, mentoring teams, and driving measurable business growth through faster experimentation and higher-quality execution.
The Staff Program Manager will serve as the primary point of contact for defense clients, managing the operational deployment and support of Rocket Motor Systems. This role involves coordinating with internal engineering teams, navigating government procurement, and driving account growth through strategic relationship management.
A data architect/modeler role designing and governing data products for unstructured knowledge assets (documents, case files, knowledge captures) within a Knowledge Management ecosystem on Databricks Unity Catalog. Day to day: define data models, metadata taxonomies, and security classifications, and partner with data engineers building Databricks pipelines.
Owns network architecture for Scale's Generative AI Platform (SGP), defining standards for VPC design, private connectivity, DNS, and Kubernetes/Istio traffic across AWS, Azure, and GCP — including customer-owned, GovCloud, and air-gapped environments. Day to day: design review, connectivity patterns into customer clouds, and debugging multi-cloud traffic.
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