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 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.

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 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.

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.

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.

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.

This role focuses on managing technical integrations for new business verticals, acting as a Technical Account Manager. Responsibilities include gathering information from partners, guiding them through integration processes, understanding products and systems, strategizing for business growth, and collaborating with cross-functional teams to build and operate an integrations platform. The role involves identifying and resolving integration blockers, managing external partner relationships, and translating technical requirements into business solutions. While the role mentions leveraging AI tools for productivity and problem-solving, it does not involve building or shipping AI models or agents as its core function.

This role is for a Sr. Staff Technical Program Manager focused on hardware for autonomous delivery robots. The role involves managing the development, testing, validation, and manufacturing of robotics hardware from concept to production, working closely with hardware, software, autonomy, and operations teams. Experience with autonomous vehicle sensor and compute systems is required.

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.

Software Engineer role focused on developing and deploying advanced drone hardware for autonomous flight and delivery operations within DoorDash's last-mile logistics exploration team. Involves algorithm development for perception, sensor fusion, state estimation, and control, using ROS/ROS 2, and integrating with various drone sensors and ground systems.

Senior Atlassian Platform Engineer responsible for administering, integrating, and evolving the Atlassian toolset, including a migration from Freshservice to Jira Service Management. The role involves building automation with GitHub, Terraform, and Python, supporting core enterprise platforms, and driving the adoption of AI tooling in IT operations.

Recruiter for Go-to-Market Sales at DoorDash, focusing on full-cycle recruiting for Enterprise and SMB sales teams. This role requires a strategic, execution-oriented approach, acting as a business partner and talent advisor to Sales leadership. The ideal candidate will use data and market insights to improve hiring velocity and outcomes, and will leverage AI and emerging technologies to enhance recruiting processes.

This role supports the daily operations of an autonomous robot fleet, acting as a liaison between operations and engineering to troubleshoot and resolve field issues. It involves debugging, documenting issues, identifying recurring patterns, and contributing to the improvement of triage and AI-driven workflows.

This role is for a Physical Security Agent on the Critical Incident Response Team (CIRT) at DoorDash. The primary responsibilities include real-time monitoring, triage, and response to incidents impacting the company's workforce, assets, and operations. This involves analyzing alerts, coordinating response actions, escalating issues, and maintaining safety and security protocols. The role also includes access control, visitor management, incident reporting, de-escalation, and supporting emergency response protocols. Collaboration with internal and external partners is key, as is maintaining documentation and compliance standards. The role requires experience in emergency management, public safety, or security operations, with strong analytical and communication skills, and the ability to remain calm under pressure.

This role is for a Physical Security Agent on the Critical Incident Response Team (CIRT) at DoorDash. The agent will be responsible for real-time monitoring, triage, and response to incidents impacting the company's workforce, assets, and operations. Key duties include analyzing alerts, coordinating response actions, escalating issues, managing access control, supporting emergency protocols, and maintaining documentation. The role requires experience in emergency management, public safety, or security operations, strong analytical and communication skills, and the ability to remain calm under pressure.

This role is for a Physical Security Agent on the Critical Incident Response Team (CIRT) at DoorDash. The agent will be responsible for real-time monitoring, triage, and response to incidents impacting global workforce, assets, and operations. Key responsibilities include security operations, access control, incident response, employee engagement, asset management, documentation, and event support. The role requires experience in emergency management, public safety, or security operations, with strong analytical and communication skills.

This role is for a Physical Security Agent on the Critical Incident Response Team (CIRT) at DoorDash. The primary responsibilities include real-time monitoring, triage, and response to incidents impacting the company's workforce, assets, and operations. The role involves analyzing alerts, coordinating responses, escalating issues, and maintaining documentation. It requires experience in emergency management, public safety, or security operations, with strong analytical and communication skills.

Security Engineer focused on insider threats, investigating anomalous events, developing detections, and creating automated workflows using AI/ML tools. The role involves data analysis, incident response, and collaboration with Legal and HR.

Lead technical recruiter for G&A functions including Security Engineering and People Technology at DoorDash, focusing on building talent strategy and improving hiring processes globally across DoorDash, Wolt, and Deliveroo.

This role is for a Service Technician at DoorDash Labs, focusing on the maintenance and repair of a robot fleet and electric bicycles to support last-mile logistics automation. The role involves standard and intermediate technical tasks, troubleshooting, repair of common faults, and documentation within a growing team exploring robotics solutions.

Mechanical Engineer to design and integrate lighting and audio systems for an autonomous delivery robot, DOT. Responsibilities include end-to-end development of lighting systems, mechanical design and integration of audio systems, CAD modeling, cross-functional collaboration, vendor management, prototyping, testing, and validation. Requires experience in mechanical design, CAD, lighting/optical/mechatronic components, and audio component integration.

This role is for a Senior Associate, Physical Security Initiatives at DoorDash. The primary focus is on executing strategic projects, implementing integrated physical security systems (access control, visitor management), collaborating cross-functionally, and analyzing program impact. While the role involves working with technology and data, it is not centered on AI/ML development or deployment. The candidate should have experience in program coordination, physical security operations, or technology project management, with a systematic and user-centric approach.

This role supervises a team of support staff focused on customer, Dasher, and merchant inquiries, aiming to improve internal tools and offshore agent performance. It involves managing daily operations, coordinating workflow, and meeting service-level agreements, with a focus on process improvement and data-driven decision-making.

Manager, Technical Program Management for DoorDash's Foundations team, overseeing Data Engineering, Data Platform, Core Infrastructure, and Developer Platforms. Focuses on reliability, security, capacity planning, and large-scale migrations. Requires strong technical depth in distributed systems and cloud infrastructure, with experience managing TPMs or engineers in platform domains.

This role is focused on workforce management and operational efficiency within DoorDash's Merchant Experience operations. It involves optimizing real-time performance, workforce strategy, and data systems. The Associate Supervisor will own and evolve critical workforce management processes, including real-time operations, merchant support mapping, and system workflows. Key responsibilities include leading a team, stabilizing operations, building and standardizing processes, resolving escalations, identifying inefficiencies, driving automation, and partnering cross-functionally. The role requires strong process orientation, data handling skills, problem-solving abilities, and experience in managing operational teams. While the role aims to build more automated and insight-driven systems, it does not involve core AI/ML model development or research.

This role is for a Sr. Security Compliance Specialist at DoorDash, focusing on scaling and maturing the company's global compliance program. The specialist will lead internal and external audits (SOC 1, SOC 2, PCI DSS), act as a liaison with auditors, and support the evolution of the compliance framework through policy development and control design. The role involves driving audit readiness, tracking and remediating findings, and identifying opportunities for process improvement, including automation. Experience in high-growth, technology-driven, or regulated environments is required, along with strong experience in implementing and assessing controls across common frameworks.

Client Platform Engineer responsible for configuration, management, and automation of macOS, iOS, Windows, ChromeOS, and Android endpoints, with a strong focus on security and scaling endpoint management. The role involves partnering with security teams, supporting technical solutions, and seeking automation opportunities.

Senior Analyst role focused on managing user access, conducting compliance audits (SOX/SOC), and leading process improvement initiatives for global BPO support agents. Involves integrating identity platforms and troubleshooting identity issues.

Engineering Manager for DoorDash's Red Team, focusing on offensive security, adversary simulation, and driving remediation outcomes. This is a player-coach role involving team leadership, strategic roadmap definition, and hands-on technical involvement in engagements and tooling.

This role is for a Senior Associate Project Manager on the Global Safety and Security team at DoorDash. The primary focus is on planning, execution, and delivery of projects related to physical security technology, collaborating with cross-functional teams to ensure projects are completed on time, within scope, and within budget. Responsibilities include leading project planning, coordinating resources, developing schedules, managing budgets, and ensuring compliance with industry standards. The role requires experience in physical security technologies and project management methodologies.