Research Fellow

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

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research. Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts. Our team produces impactful research that will change the way you look at the world. WHAT YOU'LL DO This 6-month intensive fellowship offers hands-on experience in research, business analysis, cross-functional collaboration, and the investment process within a fast-paced, compliance-focused environment. Canvas Fellows will be considered for permanent placement on the team following completion of the program. When you join the Canvas team, you’re signing up for the learning experience of a lifetime. You will never look at anything the same way—from grocery stores to tires to semiconductors. Every day, Canvas team members speak with private company executives and learn about the businesses they’ve spent their lives building. The team synthesizes findings in comprehensive reports that are consumed by Point72 investment professionals. Other Market Intelligence divisions do quantitative research to explain what is going on in an industry. As a Fundamental Researcher, your qualitative research will explain the why. During the 6-month program based in our New York office, you will: Become a subject matter expert on an assigned industry Engage with small, medium, and large private company executives about their businesses and the industries in which they operate, gathering qualitative data on key development—including structural shifts, real-time changes in supply/demand dynamics, and emerging competitors, markets, and technologies—with a focus

ROLE SUMMARY: The key strategic focus within the Internal Medicine Research Unit (IMRU) is identifying novel therapies to prevent or treat metabolic diseases such as obesity and cardiovascular disease. Our goal is to build a world-class research team of dedicated scientists committed to developing a deep mechanistic understanding of the metabolic pathways underlying disease pathogenesis. As a senior scientific leader and member of the obesity discovery biology team, this individual will play a significant role in shaping the scientific direction for the obesity therapeutic area and influencing broader IMRU research strategy and portfolio priorities. The individual will help create and drive discovery research strategy across multiple programs, including target ideation, validation, translational biomarker strategy, hypothesis testing, and early clinical development within the IMRU obesity portfolio. The successful candidate will lead through both direct team leadership and influence across multidisciplinary partners, helping align scientific decisions across discovery biology, translational sciences, clinical, computational, and external collaborators. The individual will identify emerging therapeutic opportunities, advance portfolio programs with scientific rigor and urgency, and represent research strategies to internal leadership and the external scientific community. Knowledge and experience in the study of metabolic pathways are essential, and familiarity with the pathophysiology of dysmetabolic states would be advantageous. Strong self-motivation, excellent communication and interpersonal skills, and the ability to lead, mentor, and build scientific capability in a highly collaborative environment are essential. ROLE RESPONSIBILITIES: Shape and influence the scientific direction for discovery research programs aligned with IMRU therapeutic area and portfolio strategy. Ap

A Career with Point72's Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. What you'll do This 6-month intensive fellowship offers hands-on experience in data-driven research, business analysis, cross-functional collaboration, and the discretionary investment process within a fast-paced, compliance-focused environment. Data Research Fellows will be considered for permanent placement on the team following completion of the program. During the 6-month program based in our New York office, you will: Analyze alternative data from multiple sources to identify trends, themes, and business insights across companies and industries Develop sector expertise by studying key performance indicators, competitive dynamics, and operating drivers within an assigned coverage area Produce research for internal investment professionals through written analysis, verbal updates, and clear data visualization Partner with data analysts, data scientists, and engineers to transform datasets into research products that support investment decision-making Interact with investment professionals to learn the discretionary investment process and contribute to informed research discussions Collaborate with Data Sourcing, Data Science, Data Engineering, and Compliance to

Welcome to the application portal for the Perplexity Research Fellowship ! The Perplexity Research Fellowship is our flagship program for enabling the best early-career STEM talent to shape the future of frontier intelligence. Please refer to the program homepage for full details on the Perplexity Research Fellowship and application process. When you're ready to apply, please complete and submit the application form. Make sure to carefully follow all instructions . We'll evaluate applications on a rolling basis, with priority consideration for submissions received by September 30, 2026. You should write your application without assistance from other humans or AI models. Submitting writing from other humans or AI models as your own will result in permanent disqualification from employment at Perplexity. Please note that the Perplexity Research Fellowship is not an internship program for students seeking research experience between school terms. If you're currently a student and your requested Fellowship start date is before your graduation date, we will request verified proof of an approved leave of absence of 1 year or greater from your university as a precondition to any Fellowship offer.

APPLICATIONS CLOSED The general application portal has closed for 2026. We will reopen applications at some point in 2027. Thank you for your interest in Perplexity careers! Welcome! This is the general application portal for university students and recent graduates who wish to be considered for full-time Member of Technical Staff positions at Perplexity. Our elite new grad cohorts enjoy unparalleled mentorship, top-of-market compensation, and the chance to tackle some of the deepest, thorniest challenges in frontier intelligence . NOTE: if you attend one of our focus schools listed below, please do not apply via this portal as it is infrequently monitored due to high volume. Apply instead via the school-specific application portal below to ensure your application receives priority attention. Focus schools (United States) - application portals Caltech | Columbia | Cornell | CMU | Duke | Georgia Tech Harvard | MIT | Michigan | Northwestern | NYU | Penn Princeton | Purdue | Stanford | UC Berkeley | UChicago UCLA | UIUC | UNC Chapel Hill | UT Austin UWashington | Yale Focus Schools (Canada) - application portals McGill | UBC | UToronto | Waterloo Early Career Talent @ Perplexity ​Perplexity believes that exceptionally talented individuals at any stage can thrive in our high-velocity, high-ownership culture. ​Our early career talent program revolves around: ​ Breadth : New grads at Perplexity work across the stack, from Perplexity's agent harnesses to our AI inference and training systems. Many of our most beloved features and most important systems were shipped by individuals fresh out of school. ​ Depth : New grads are entrusted (and expected) to dive deep into whatever problem domains you work on. Often, your work will require you to become a world expert in some problem space that few others in the world have encountered. ​ Mentorship & Growth : We keep the size of our entering new grad cohorts at well below 10% of our technical team. Each individual enjoys a ri