DoorDash

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This role supports fulfillment quality and operational performance for DoorDash's New Verticals business. The Senior Support Specialist will monitor real-time dashboards, investigate deviations, and leverage AI-enabled tools and structured workflows to proactively identify issues and drive resolution, ensuring a reliable experience for consumers, dashers, and merchants.

Team Lead for Live Operations at DoorDash, focusing on managing a team of Senior Support Specialists to ensure fulfillment quality and operational consistency for New Verticals (Convenience, Grocery, Retail, Alcohol). The role involves leveraging and overseeing the use of AI-enabled tools to identify issues and drive resolution, managing talent, auditing quality, and shaping strategy through data-driven analysis and process improvement.

This role is for a Senior Associate on the Enterprise Account Management team at DoorDash, responsible for the strategic vision, acquisition, and development of large restaurant groups. The role involves a blend of data analysis, operational insights, and relationship management, reporting to a Manager of Enterprise Account Management. Key responsibilities include developing growth plans, executing co-marketing campaigns, managing C-suite relationships, conducting business reviews, and serving as the primary point of contact for partner issues. The role requires experience in consulting, client success, account management, or sales, strong problem-solving skills, high data fluency, and proficiency with AI productivity tools to improve efficiency and support strategic execution. Nice-to-haves include startup experience, marketplace knowledge, and analytics/CRM tool proficiency. Compensation includes base salary and sales commission.

This role is for a Senior Associate in Strategy & Operations at DoorDash, focusing on scaling multi-vertical growth by improving customer order discovery and completion. The role involves leading operational activities for product experimentation, analyzing results, and partnering with cross-functional teams. A key aspect is pioneering the use of AI-powered tools and agentic workflows to enhance analysis and reporting, and to drive business outcomes. The role requires strong analytical skills, experience with A/B testing, product sense, and comfort with ambiguity. While the role aims to leverage AI tools, its core function is product strategy and operations within a consumer marketplace, not direct AI/ML model development.

This role is for an Associate Manager in New Verticals Logistics Strategy & Operations at DoorDash. The primary focus is on improving the efficiency, quality, and speed of deliveries through forecasting systems. The role involves operating, experimenting with, scaling, building, and analyzing forecasting enhancements, including leveraging AI-enabled forecasting tools. It requires strong analytical skills, SQL proficiency, and experience building models from scratch, but is explicitly stated as a non-technical role within the Strategy & Operations job family.

Manager for DoorDash's Consumer Paid Marketing, focusing on Paid Search strategy and execution across major platforms. This role involves managing large budgets, driving customer acquisition and reactivation, leading a team, and experimenting with AI-driven search platforms. The position requires strong analytical skills, performance marketing expertise, and people leadership.

Manager for DoorDash for Business Customer Success Team, focusing on strategy, scaling solutions, onboarding, activation, and retention. The role involves leading CSMs, managing KPIs, partnering with Sales, implementing tracking systems, and leveraging AI tools for efficiency. Key responsibilities include architecting the Customer Success function, building CS data infrastructure, implementing CS platforms, diagnosing performance issues, and driving cross-functional alignment.

This role focuses on developing go-to-market strategy and onboarding for catering customers and merchant partners within DoorDash for Business. It involves building playbooks, processes, and analytical foundations for growth. The role will leverage AI tools for data querying, workflow automation, and insight generation to inform product roadmaps and measure performance. It is a product-focused role within an enterprise AI context, aiming to build and scale a corporate dining platform.

Senior Enterprise Onboarding Partner for DoorDash for Business, focusing on launching and driving adoption for large enterprise clients. This role involves strategic planning, executive relationship management, and creating onboarding playbooks, with a requirement for technical fluency in SaaS integrations. The role also mentions leveraging AI tools for productivity.

Engineering Manager for DoorDash's Pricing Platform team, focusing on infrastructure for pricing, fee computation, and financial integrity. The role involves leading a backend/full-stack team, setting technical vision, and integrating ML/AI solutions for personalized targeting and user experience.

This role focuses on improving operational productivity and efficiency within DoorDash's New Verticals Strategy & Operations team. The Senior Associate will identify and scale system and operational improvements, dig into data to find root causes of performance variance, and build systematic tools or product enhancements. They will partner with product managers, engineers, designers, and data scientists, leveraging AI tooling to enhance analysis and decision-making. The role is non-technical and emphasizes data analysis using SQL, translating insights into improvements, and collaborating cross-functionally.

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.

Enterprise Account Executive role focused on selling DoorDash for Business to midsize and large organizations. The role involves building pipeline, leading the sales cycle, and closing deals. While the role itself is not AI development, it explicitly states that the candidate should be comfortable using AI tools like ChatGPT and Gemini to enhance sales productivity and decision-making.

This role focuses on building and governing AI-led automated QA systems for DoorDash, aiming to improve the accuracy, stability, and adoption of AI-generated quality signals across various domains like Customer Support, Fraud, and Trust & Safety. It involves designing and operationalizing quality signals, driving signal accuracy, and influencing the QA tech and model roadmap.

DoorDash is seeking an Employer Brand & Recruitment Marketing Lead to own and execute their employer brand and recruitment marketing strategy, with a focus on tech hiring and international expansion. This role involves building regional strategies, launching campaigns, advising on talent positioning (including AI/ML), and creating compelling content. The candidate will leverage AI tools to enhance creativity and performance and will partner cross-functionally with various teams.

Senior Strategic Partner Manager at DoorDash responsible for managing and growing a portfolio of restaurant merchants. The role involves driving adoption of DoorDash products and solutions, leveraging AI tools for operational efficiency and merchant performance optimization, and partnering cross-functionally. Requires experience in account management, sales, or partnerships, with a strong track record of revenue growth and retention. The role also emphasizes using AI as a core part of the account management workflow.

This role is for a Senior Manager of Sales Planning and Strategy at DoorDash. While the role mentions using AI tools and building AI-driven solutions for automation and efficiency, its core function is in sales planning and strategy, not in the direct development or research of AI models. The role focuses on sales incentive design, performance optimization, forecasting, and cross-functional collaboration, with an emphasis on leveraging AI tools to improve these business processes.

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.