DoorDash

Senior/Staff Deep RL Engineer to design, train, and deploy deep reinforcement learning policies for real-time driving decisions in autonomous vehicles. The role involves full lifecycle ownership from problem formulation and reward design to large-scale distributed training and on-vehicle inference, with a focus on JAX end-to-end stack for rapid deployment.

DoorDash is seeking a Principal Machine Learning Engineer to lead the technical direction for AI-first experiences in their Ads & Promos Delivery team. This role involves designing and building next-generation ranking systems using deep learning, LLMs, and sequence modeling, focusing on query understanding, representation learning, and multi-objective optimization. The engineer will own the full ML lifecycle from research to production, ensuring systems operate under strict latency, scale, and reliability constraints, and will contribute to defining how AI reshapes ads relevance in a global marketplace.

Associate Manager for Sales Strategy & Operations focused on DoorDash's Digital Ordering platform. This role involves translating high-level objectives into actionable sales goals, establishing operational governance, optimizing sales funnels, and leveraging AI to maximize sales productivity and outreach effectiveness. The candidate will architect AI-driven solutions from process discovery to production deployment and build AI tooling to automate manual work and accelerate decision-making.

Senior Software Engineer focused on motion planning for autonomous delivery systems. The role involves designing, implementing, and deploying behavior and motion planning algorithms, leading root-cause analysis for failures, building evaluation frameworks, and contributing to architecture decisions for planner robustness and efficiency. Requires strong C++ experience and a background in robotics or real-time decision-making systems.

Engineering Manager to lead a team focused on Search Quality, leveraging ML and LLM approaches for query understanding, retrieval, and multi-stage ranking in a consumer-facing product.

Staff Machine Learning Engineer to design and develop large-scale ML/optimization systems for personalization efforts within the DashPass subscription loyalty program. The role involves contributing to causal inference modeling, incentive optimization frameworks, budget allocation models, and building 0->1 ML systems to improve subscriber outcomes and marketplace health. It requires strong ML fundamentals, production ML system experience, and leadership through influence.

This role focuses on building and maintaining data pipelines and infrastructure that support AI capabilities within an enterprise environment. The engineer will establish API connections, model and surface data, and architect automated AI flows, with a significant focus on integrating SevenRooms' data ecosystem into DoorDash's broader organization. Experience with deploying AI models and building scalable systems for AI capabilities is required.

Senior Staff Software Engineer on the Search team at DoorDash, responsible for driving the technical strategy and architectural direction for the entire search stack, including indexing, serving, and backend systems for both consumer search and agentic commerce experiences. The role involves leading the rebuild of core search infrastructure and influencing cross-functional teams.

Director of Ads Platform Strategy & Operations responsible for the vision, strategy, and execution of tools and systems supporting the advertising business, with a focus on leveraging Gen AI to revolutionize campaign sales, building, and optimization. This role involves driving sales and campaign lifecycle efficiency through automation and process optimization, building platform foundations for scale, and creating self-serve tools for merchants. The position requires partnering with Product and Engineering, overseeing Ad Operations, and using data-driven decision-making to scale experiments and improve campaign delivery quality.

This role focuses on partnering with Product and Engineering to build new, AI-led products that improve how DoorDash support agents handle cases at scale. The goal is to shape and launch tools that assist agents in real time, improve decision-making, and drive faster, fairer resolutions for consumers. The role involves translating agent pain points into product requirements, designing and testing new agent-facing experiences, and analyzing performance data. It requires strategic judgment, analytical rigor, and comfort in a 0->1 environment.

Full stack UX Design Engineer to build platforms, tooling, and ML systems for content design, integrating LLM-driven workflows into product experiences and accelerating content design AI tooling.

Engineering Manager for People Applications at DoorDash, responsible for leading a team of full-stack engineers to build and scale HR applications. The role involves shaping technical direction, delivering features, and integrating AI tools/LLMs to enhance employee lifecycle processes and developer efficiency. Experience with Generative AI development, including prompt flows, agents, guardrails, and knowledge base optimization, is required.

Senior Manager of Cyber Defense to lead the US Cyber Defense team, focusing on proactive threat preparation, rapid response, and building AI-based automation. The role involves developing roadmaps, leading incident response, analyzing threat intelligence, and managing a team of security engineers, with a strong emphasis on leveraging AI and LLMs.

Technical Program Manager to lead AI-enabled automation initiatives for the Enterprise Sales organization, focusing on identifying workflow opportunities, developing automation solutions, and scaling tools to reduce manual work. This role requires strong technical fluency, program leadership, and the ability to translate business needs into scalable technical solutions.

Manager, eDiscovery Operations to architect and evolve the operational infrastructure that supports DoorDash’s litigation and legal response efforts. This role goes beyond managing matters — you will design and own the operating model for how data moves from enterprise systems into defensible legal review. This is a high-autonomy individual contributor role with ownership over discovery infrastructure and oversight of contractors and external vendor teams. Success in this role is measured by the scalability, reliability, and defensibility of the discovery systems you design, as well as the expertise you bring to complex, high-impact matters. You are a builder first– focused on creating automated, repeatable processes that treat discovery as a scalable technical product.

Associate Manager role focused on improving selection coverage and inventory prediction for DoorDash's New Verticals (Grocery, Convenience, Alcohol, Retail) by leading the development and iteration of tech solutions, including AI-powered predictions. This role involves strategic planning, cross-functional collaboration with ML, Engineering, and Data Science teams, and driving operational improvements.

This role supports an AI prompting initiative to advance fraud analysis and decision support. The Associate will analyze fraud trends, collaborate with stakeholders to implement containment measures, and provide data for various initiatives. Key responsibilities include data analysis, root cause analysis, project management, and providing clear inputs to AI tools for analysis and decision-making.

Software Engineer, Infrastructure - Autonomy & Robotics role at DoorDash Labs, focusing on building and operating infrastructure for large-scale simulation testing, continuous integration, and machine learning for autonomous vehicle development. Responsibilities include designing and implementing robot data and metrics pipelines, and collaborating with autonomy teams.