Senior University Recruiter

About the Team The DoorDash Research Fellowship is a 3-month program (extendable to 6 months) looking for Summer and Fall 2026 cohorts, for researchers and engineers who want to work on the hardest applied ML and AI problems in local commerce. Fellows are given the resources, autonomy, and access to real-world operational data needed to pursue ambitious research directions — with the goal of producing work that influences both the field and how DoorDash operates at scale. This program is modeled on the best external research fellowships: fellows are treated as independent researchers, not as junior employees on a product team. You pick the problem (within a set of priority areas), you own the direction, and you publish or ship the outcome. You’re excited about this opportunity because you will receive… Dedicated compute allocation sized to the research agenda — GPU clusters for training and inference budgets for experimentation Full access to DoorDash's research infrastructure — our internal RL stack, training and evaluation pipelines, RL environments built on real operational systems, agent evaluation harnesses, and the tooling our own research teams use day-to-day. Fellows are first-class users, not sandboxed visitors. Access to DoorDash operational data — real-world datasets spanning logistics, merchant operations, consumer behavior, and marketplace dynamics, under appropriate data governance Research mentorship from senior researchers and engineering leaders at DoorDash, plus a named research sponsor for each fellow who meets with you weekly and is accountable for unblocking your work Speaker series featuring leading researchers and practitioners from academia and industry — faculty from top ML programs, research leads from frontier AI labs, and senior operators from across tech. Fellows get dedicated 1:1 time with speakers when possible. A cohort of fellows working alongside you — a small, tight-knit group of researchers tackling different problems but sharing

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Amplitude is looking for a Senior Salesforce Platform Engineer to support the scaling and ongoing evolution of our go-to-market (GTM) systems. You'll own end-to-end visibility into our Salesforce platform, from day-to-day configuration and support to long-term architecture and improvement. As part of our GTM Engineering team, you’ll partner with Sales, GTM Operations, Finance, Product & Engineering, and GTM leadership to deliver well-governed solutions across Salesforce and connected platforms like CPQ, NetSuite, Amplitude, and Snowflake. What You'll Do Hands-on platform administration, configuration, troubleshooting, maintenance, testing, upgrades, and user support Maintain and optimize CPQ, pricing, quoting, and opportunity workflows to support the quote-to-cash process Serve as the escalation line of support for Salesforce, handling escalated i

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte

About the Team As DoorDash continues to expand rapidly, our Core Consumer team plays a pivotal role in shaping the consumer experience through enhancing personalization, search relevance, merchandising strategy, app quality, and the overall ordering experience. Our mission is to implement scalable data solutions and provide insights that directly influence our strategic product direction. We are looking for an Analytics Senior Manager to lead our Discovery team. About the Role As a Senior Manager of Data Science/Analytics, you’ll be leading a team of data scientists who are working on improving the consumer experience. You will develop strategic insights and work closely with the product, engineering, strategy and operations teams to actively build and measure the impact of new features. You will oversee our metrics and analytics strategy to inform strategic product direction, offer technical leadership and build processes to support velocity, and partner with data and product engineers to build robust data foundations. You're excited about this opportunity because you will… Lead and develop a team of Data Scientists in investigating complex issues and uncovering key drivers of our business, along with your own contributions as an Individual Contributor Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain Experience managing a team of data scientists, and a track record of delivering impactful analyses 8+ years of experience i

About the Team The Consumer Engineering Team is responsible for helping consumers discover and order everything they love globally. Our work spans the entire consumer journey across homepage, search, store discovery, item exploration, checkout and post checkout. We aim to craft a hyper-personalized, delightful and frictionless experience for millions of our customers. About the Role As a Senior Staff Machine Learning Engineer on Core Cx, you will set the personalization (P13n) strategy for the entire consumer shopping journey and bring that strategy to life. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across restaurant, grocery, retail and all business at DoorDash . You will modernize the recommendation system leveraging AI. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You're excited about this opportunity because you will… Drive the engineering vision, strategy, and execution for an organization of 150+ Grow, build, and nurture impactful business-focused product engineering teams. Scale the team by developing leaders internally and attracting world-class talent Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road. Partner with Business, Product, and other Engineering teams to transform DoorDash from local commerce to agentic commerce We're excited about you because you have… B.S. or M.S. in Computer Science or equivalent. 10+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code) in th

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Design Manager at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. You'll work shoulder-to-shoulder with Engineering and Product Management, dig into the data, and use LLM-powered tools alongside traditional design tools. If the LLM powered tools don’t exist yet, you build them. About the Role Trust is the foundation of every interaction on DoorDash. We're looking for a design leader who can define and drive a vision for designing for integrity at scale. In this role, you will join the Integrity organization. You’ll lead a team of designers working across fraud prevention, trust, safety, and compliance — protecting millions of consumers, Dashers, and merchants while keeping the platform seamless and trustworthy. You will report into the Head of Design for our Customer Experience & Integrity organization. This role is hybrid- 1–2 days per week in one of our Design Hubs. You’re excited about this opportunity because you will… Set the technical direction for Design across your product area — decide what gets built, in what order, and why; connect multiple teams around shared platforms so the work compounds instead of duplicating Work on ambiguous problems and turn them into architecture decisions and working systems that teams actually use; earn trust with leadership not through decks, but through prototypes and shipped code that make your point for you Stay close to the code and the craft across multiple projects at once — you're not just reviewing, you're building; the work you ship will move real metrics across the product area