DoorDash is actively hiring for 28 AI-related roles. The majority of these positions, 61%, are focused on agents, with application roles making up another significant portion at 29%. Engineering is the primary function for these hires. Frequent tech tags include model serving, agent orchestration, and recommender systems, suggesting a focus on deploying and managing AI models for user-facing applications.
Currently tracking 12 active AI roles, down 23% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $102k–$395k (avg $228k).
DoorDash currently has 29 active AI-related roles in our index. The most common open titles are: Software Engineer, Infrastructure - Autonomy & Robotics (2), AI Research Fellowship, (Summer and Fall 2026), Associate, Fraud Insights Operations, Director of Engineering, Logistics, Director, Ads Platform Strategy & Operations, Ads & Promotions. Most positions are in Engineering and Product.
DoorDash's active AI hiring is concentrated in: agents (66%), application (24%), serving infrastructure (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
DoorDash is hiring AI talent in: United States (29 roles).
Job postings at DoorDash most frequently reference: agent orchestration, model serving, recommender systems, rag, search ranking.
In the past 30 days, DoorDash has posted 9 new AI-related roles. That is a +29% change versus the prior 30 days (7 → 9).
| Title | Stage | AI score |
|---|---|---|
| AI Research Fellowship, (Summer and Fall 2026) DoorDash is seeking researchers and engineers for a 3-month AI Research Fellowship (extendable to 6 months) to work on applied ML and AI problems in local commerce. Fellows will have access to resources, autonomy, real-world data, and mentorship to pursue ambitious research directions, with the goal of influencing both the field and DoorDash's operations. The program includes dedicated compute, research infrastructure, operational data, mentorship, speaker series, a cohort of peers, publication support, and competitive pay with stipends. Priority research areas include reinforcement learning environments, agentic systems, foundation models for marketplaces, evaluation methods, and multimodal understanding. Candidates should have a strong research track record (PhD candidates/PhDs or equivalent experience) or deep research instincts as an engineer, with the ability to operate independently and communicate effectively. | PretrainAgent |
| 9 |
| Senior/Staff Deep Reinforcement Learning Engineer 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. | AgentServe | 9 |
| Senior Staff Machine Learning Engineer Senior Staff ML Engineer to lead technical direction for AI-first experiences, including ranking and relevance systems for ads and promotions. Will design and build next-generation AI-first ranking systems using state-of-the-art techniques such as sequence modeling, deep learning, and LLMs, spanning query understanding, representation learning, contextual relevance, and multi-objective optimization. Role involves setting technical vision, driving cross-team alignment, and translating research into production systems under strict latency, scale, and reliability constraints. | Ship | 8 |
| Staff Machine Learning Engineer, Fulfillment Planning Staff Machine Learning Engineer to lead the design, development, and deployment of large-scale production ML systems for DoorDash's fulfillment ecosystem, focusing on real-time decisioning, assignment, and fulfillment estimation. The role involves building 0->1 ML systems, influencing technical direction, setting standards, and mentoring engineers, with a vision towards LLM-inspired foundation models for logistics. | Agent | 8 |
| Director of Engineering, Logistics Director of Engineering for DoorDash's Logistics Org, leading 100+ engineers across Backend, Mobile, ML, and Operations Research. The role focuses on architecting intelligent, real-time systems, optimization engines, and high-throughput AI platforms for fulfillment, dispatching, dynamic pricing, ETAs, and supply-demand balancing. Key responsibilities include defining AI/Platform vision, architecting real-time decision engines, building production-grade ML, scaling infrastructure, and cross-functional leadership. | ServeAgent | 8 |
| Principal Machine Learning Engineer, Ads & Promos Delivery 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. | AgentServe | 8 |
| Engineering Manager, Merchant, AI/ML Engineering Manager for the Merchant AI/ML team at DoorDash, leading a team to build and deploy AI/ML solutions for the merchant lifecycle. The role involves defining strategy, partnering with product teams, and owning the end-to-end ML system lifecycle, with a focus on generative AI, multimodal learning, and agentic automation to improve merchant success. | ShipAgent | 8 |
| Manager, Data & Analytics, In-Store Manager of Data & Analytics to lead a team responsible for data products, AI systems, and reporting infrastructure. The role involves people leadership, owning the data roadmap, partnering with stakeholders, and contributing to AI developer infrastructure. Key responsibilities include leading a team, owning the D&A roadmap, translating business problems into technical scope, designing prompts, integrating with systems via APIs, and contributing to AI developer infrastructure. | AgentData | 7 |
| Senior Staff Machine Learning Engineer, Consumer Senior Staff ML Engineer focused on setting personalization strategy for the consumer shopping journey, implementing ML solutions for search relevance, and modernizing recommendation systems using AI. The role involves driving engineering vision, mentoring teams, and partnering on agentic commerce initiatives. Requires deep expertise in deep learning, fine-tuning, and optimizing LLM systems, with a strong command of production ML and experience shipping ML solutions. | AgentPost-train | 7 |
| Software Engineer, Machine Learning - Credit & Refund Optimization Software Engineer, Machine Learning role focused on building and deploying ML systems for credit and refund optimization, personalizing decisions to balance customer experience and operational costs using causal inference and optimization algorithms. | Agent | 7 |
| Associate Manager, Sales Strategy & Operations, Commerce Platform 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. | Agent | 7 |
| Senior Software Engineer, Motion Planning – DoorDash Labs 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. | Agent | 7 |
| Machine Learning Engineer, Marketplace Optimization Machine Learning Engineer focused on optimizing DoorDash's Ads Marketplace. This role involves designing, building, and deploying ML models and pipelines for critical functions like pacing, bidding, auction, and targeting. The engineer will collaborate with Data Science and Product teams, improve ML infrastructure, and ensure models are production-ready and scalable, directly impacting financial metrics and marketplace efficiency. | Ship | 7 |
| Engineering Manager, Search Quality 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. | AgentServe | 7 |
| Staff Machine Learning Engineer - DashPass 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. | Agent | 7 |
| Machine Learning Engineer, Computer Vision Machine Learning Engineer focused on Computer Vision for DoorDash's grocery and retail delivery business. The role involves developing, implementing, and validating ML solutions for consumer vision problems like entity recognition, object detection, and classification, aiming to improve product knowledge graph accuracy, inventory information, and Dasher efficiency. Requires production-level ML experience and collaboration with cross-functional teams. | Ship | 7 |
| Machine Learning Engineer - ETA Team Machine Learning Engineer to develop and improve ETA models for DoorDash's logistics engine. The role involves building deep learning models for time predictions, owning the modeling lifecycle end-to-end, and shipping production-grade ML models and optimization systems. | Serve | 7 |
| Staff Software Engineer, Machine Learning - Personalization Staff Software Engineer, Machine Learning - Personalization at DoorDash. Develops production ML solutions for personalized shopping experiences in retail and grocery delivery. Focuses on Causal Inference and Recommendation Systems, with potential familiarity with MAB algorithms and LLMs. Ships ML solutions to production and partners with product leaders. | ShipAgent | 7 |
| Software Engineer, Machine Learning - Fraud Software Engineer, Machine Learning - Fraud at DoorDash. Develops and ships production ML solutions for fraud detection and mitigation at scale. Requires experience with deep learning frameworks and familiarity with multi-task learning, LLMs, and anomaly detection. | Ship | 7 |
| Engineering Manager, Proactive Security Engineering Manager for Proactive Security at DoorDash, focusing on building security controls into products, leading teams for Bug Bounty and Vulnerability Management, and enabling secure AI adoption. The role involves technical leadership in Account Security, Product Security Engineering, and AI Security, with a focus on proactive controls and regulatory compliance. | Agent | 5 |
| Associate, New Verticals - Convenience Strategy & Operations This role is for an Associate on the Convenience Strategy & Operations team at DoorDash. The primary focus is on driving growth, quality, and operational initiatives for enterprise merchants. While the role is not directly building AI models, it heavily emphasizes leveraging and exploring AI tools to automate processes, accelerate analysis, and develop product visions within the context of improving convenience shopping experiences. The role involves strategy, operations, and product development, with a strong analytical component and a requirement to stay at the forefront of AI's impact on work. | — | 5 |
| Senior Product Designer, Drive Senior Product Designer for DoorDash's Drive team, focusing on leading design for new 0 to 1 products within their logistics platform and business incubator. The role involves end-to-end ownership, shaping user experience and product direction, building with AI tools, and partnering cross-functionally to launch new merchant offerings. Requires experience in high-growth consumer tech or complex marketplace products, and proficiency with AI-powered workflows and code editors. | — | 5 |
| Manager, Campaign Operations Manager for a Campaign Operations team focused on building, QAing, and launching marketing campaigns. The role involves leading a team, ensuring high-quality campaign delivery, and leveraging AI tools to improve operational efficiency and campaign quality. This is a product-focused role within the consumer domain, scaling existing operations. | — | 5 |
| Senior Manager, Customer Experience This role focuses on leading a team to develop and scale an AI-integrated compensation decision function for customer experience, aiming to drive cost savings and growth. It involves strategy, data/AI optimization, stakeholder alignment, and managing trade-offs between efficiency, customer experience, and innovation. | Agent | 5 |
| Engineering Manager, Merchant Tablet Engineering Manager to lead the Merchant Tablet team, responsible for Android and iOS apps that help merchants manage live operations on DoorDash. The role involves leading backend and Android engineers, collaborating with cross-functional partners, and driving technical vision, including building AI-powered features like a chat interface for order issues. | Ship | 5 |
| Associate Manager, Sales Planning & Strategy, DoorDash for Business This role is focused on sales planning and strategy for DoorDash for Business, involving the design and implementation of sales incentive structures, cross-functional collaboration, data analysis, sales performance optimization, and forecasting. While the role mentions using AI tooling and architecting AI-driven solutions, its core function is product strategy and sales operations, not direct AI/ML model development. | — | 5 |
| Senior People Transformation Strategist This role focuses on leading transformation initiatives within the People function, aiming to create an AI-enabled People Operating System. The strategist will redesign processes, implement AI-enabled solutions, and drive change management to improve efficiency, quality, and employee experience in an AI-first environment. | — | 5 |
| Account Manager, Platform Innovation This role is for an Account Manager focused on strategic merchant partners within DoorDash's Commerce Platform. The primary responsibility is to drive revenue growth, manage account health, and translate merchant feedback into product and engineering work. The role involves using and improving AI-augmented operational tools and building processes within a rapidly evolving function. While the role heavily utilizes AI tools, it does not involve building or shipping AI models. | — | 5 |
| Senior Technical Program Manager, Tech and Insights Senior Technical Program Manager to improve how development teams plan, test, launch, and support software in production. This role will mature and scale existing operating frameworks to make engineering execution more reliable and scalable, while also owning the incident response model for critical people systems. Partner closely with engineering, product, analytics, and operations teams to strengthen delivery discipline across software development and production support. This includes code review and release practices, system integration testing, user acceptance testing, delivery readiness, dependency management, technical documentation, and incident response. The role enables engineering teams to operate with stronger consistency around readiness, dependencies, security, launch discipline, incident response, and shared execution practices, while using tooling and automation to reduce the burden of that rigor over time. Experience helping teams adopt AI-enabled workflows with clear guardrails around usage, quality, security, and operational consistency. | — | 5 |
| Manager, Enterprise Strategy & Planning Manager role focused on enterprise strategy and planning for Global Restaurants Partnerships, involving strategic initiatives, AI-powered systems for stakeholder engagement and industry intelligence, data-driven business cases, and operational cadences. Requires experience in strategy/operations/consulting, SQL, and fluency with modern AI tools to scale output. | — | 5 |
| Associate, Sales Strategy & Operations This role supports the post-sales SMB Account Management team by driving operational excellence, optimizing processes, and leveraging AI tooling to increase sales productivity and accelerate growth for SMB restaurants. The Associate will partner with cross-functional teams to ensure Go-To-Market processes are effective and efficient, and will help shepherd the Account Management team into the future by utilizing AI tools. | — | 5 |
| Associate Manager, New Verticals - Strategy & Operations Associate Manager for New Verticals at DoorDash, focusing on improving consumer and merchant experience by fixing operational errors and building new tools. The role involves strategy, operations, and product, with a strong emphasis on leveraging AI tools to automate processes, accelerate analysis, and develop product visions. Requires analytical skills, ownership, and an entrepreneurial, AI-experimenting mindset. | — | 5 |
| Software Engineer, Infrastructure - Autonomy & Robotics Software Engineer, Infrastructure - Autonomy & Robotics role at DoorDash Labs, focusing on building and operating infrastructure for autonomous delivery robots. Responsibilities include designing and implementing robot data and metrics pipelines, enabling large-scale simulation testing, and collaborating with core autonomy teams. Requires strong Python, knowledge of data structures and algorithms, and experience with distributed data processing frameworks. | Ship | 5 |
| Senior Specialist S&O, Integrations Strategy & Operations This role focuses on improving the efficiency and scalability of integrations operations by using data, tooling, and AI solutions to streamline workflows, reduce manual effort, and improve the provider experience. The role involves analyzing data, defining metrics, and partnering cross-functionally to implement process and tooling improvements, with an emphasis on leveraging AI tools. | — | 5 |
| Global Head of Policy Research, Head Economist Lead the Global Policy Research function as the Head Economist, analyzing DoorDash's economic impact on local economies, shaping policy strategy, and communicating insights externally. This role involves managing a team, producing public-facing analyses, and engaging with external thought leaders. | — | 5 |
| Sr. Business Intelligence Engineer 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. | Agent | 5 |
| Director, Enterprise Sales & Strategic Partnerships, DoorDash for Business Director of Enterprise Sales & Strategic Partnerships for DoorDash for Business, focusing on driving revenue through partnerships with large enterprises and Fortune 1000 companies. The role involves leading a team, engaging C-suite leaders, closing complex deals, and influencing product strategy. The candidate is expected to use AI tools for sales productivity and customer insights. | — | 5 |
| Staff Product Designer, Merchant Marketing Staff Product Designer for DoorDash's Ads & Promos team, focusing on end-to-end campaign experience design and marketing tooling. The role involves shaping strategic vision, increasing team velocity through reusable workflows and shared tools, and driving business outcomes through faster experimentation and iteration. The designer will also mentor peers on responsible AI usage and contribute to AI-related frameworks. | — | 5 |
| Manager, Sales Strategy & Operations This role is for a Manager of Sales Strategy & Operations at DoorDash. While the company uses AI tools and the role mentions "architect AI-driven solutions" and "build in AI tooling", the core function is sales strategy and operations, not directly building or researching AI models. The role focuses on developing strategic plans, enhancing sales productivity using data tools like SQL, and driving operational excellence. The AI aspects appear to be about leveraging existing AI tools to improve sales processes rather than core AI development. | — | 5 |
| Senior Staff Software Engineer (Search) 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. | AgentServe | 5 |
| Senior Manager, Customer Experience Partner Success Senior Manager, Customer Experience Partner Success role at DoorDash focuses on managing and enhancing the support experience for international last-mile logistics. The role involves partnering with BPOs to ensure quality meets DoorDash expectations, executing quality monitoring programs, developing long-term quality strategy, and identifying/implementing new AI solutions to optimize support partner operations and performance. It requires strong analytical and data-driven skills, experience in support operations, and the ability to drive accountability for quality improvements. | — | 5 |
| Technical Implementation Specialist, DoorDash for Business This role focuses on the technical implementation and operational support of systems and integrations for DoorDash for Business. It involves managing tools like SSO, SFTP, and SCIM, troubleshooting technical issues, optimizing processes through automation and AI-assisted workflows, and collaborating with Sales, Customer Success, and Engineering. The role also includes data analysis and reporting to improve operational visibility. | — | 5 |
| Senior Product Design Manager, Integrity This role is for a Senior Product Design Manager focused on Integrity at DoorDash. The manager will lead a team of designers working on fraud prevention, trust, safety, and compliance. A key aspect of the role involves setting technical direction for design, building AI-powered tooling such as prompt libraries and eval pipelines, and ensuring these tools are adopted by teams. The role emphasizes building systems that increase leverage for others and requires strong coding skills in frameworks like React and TypeScript, with experience using AI tools like Cursor or Claude. | Ship | 5 |
| Senior Product Designer - New Bets Senior Product Designer for DoorDash's New Bets team, focusing on exploring and shaping new dining experiences beyond delivery. The role involves defining new customer experiences, owning projects from concept to launch, and using AI tools to accelerate prototyping and iteration. Requires strong collaboration with engineering and product management, and a background in consumer tech or complex marketplaces. | — | 5 |
| Senior Associate, New Verticals - Grocery Strategy & Operations This role is for a Senior Associate on the Grocery Strategy & Operations team at DoorDash. The role involves defining go-to-market strategies, launching and managing growth and quality initiatives, and using data to inform product strategy. A key aspect of the role is leveraging AI tools to accelerate analysis, prototype ideas, and automate workflows, with an expectation to stay at the forefront of AI's impact on work. | — | 5 |
| Director, Ads Platform Strategy & Operations, Ads & Promotions 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. | Agent | 5 |
| Senior Threat Response Engineer, Security Operations Senior Threat Response Engineer for DoorDash's Security Operations team, focusing on incident response, threat hunting, and leveraging AI/LLM technologies to enhance security processes. Requires experience in IR, threat hunting, SIEM/SOAR, and forensics. | — | 5 |
| Associate Manager, Demand Forecasting and Tracking - Strategy & Operations Associate Manager role focused on demand forecasting and tracking for DoorDash's CPG Ads business. The role involves owning partner GMV forecasting, JBP scenario planning, establishing demand tracking capabilities, and supporting internal planning processes. It requires strong analytical rigor, SQL experience, and the ability to build scalable forecasting tools. The candidate should be comfortable using AI tools to accelerate output. | — | 5 |
| Manager, S&O Customer Experience 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. | Agent | 5 |
| Sr. Analyst Workforce Strategy and Planning This role focuses on workforce strategy and planning within Talent Acquisition, involving forecasting, capacity planning, and performance diagnostics. It requires building models and dashboards, translating analysis into recommendations, and improving operational processes. The role explicitly mentions using AI tools to enhance analytical workflows. | — | 5 |