We are looking for highly motivated Research Interns who are passionate about solving open research problems in Artificial Intelligence, Computer Vision, Multimodal Learning, Foundation Models, Sports Analytics, and Large-Scale Visual Understanding.Unlike traditional internships focused on implementation alone, this internship is centered around research exploration, idea generation, literature review, experimentation, and the development of novel research proposals.Interns will have access to a unique large-scale dataset consisting of over 1 million real-world marathon and sports photography images, providing opportunities to investigate research problems that have not been extensively explored in academia.The ultimate goal is to identify high-impact research directions, validate them through experiments, and potentially develop publications for leading conferences and journals.Internship DetailsResearch InternshipRemoteDuration: 3 to 6 monthsUnpaidFlexible schedulePublication-orientedLimited positions-What You Will DoResearch ExplorationSurvey state-of-the-art literature in Computer Vision and AIIdentify gaps in existing researchAnalyze emerging trends and open problemsStudy recent papers from top conferencesResearch IdeationPropose novel research ideasFormulate research questions and hypothesesDesign experimental methodologiesEvaluate feasibility and novelty of ideasResearch Proposal DevelopmentWrite structured research proposalsDefine datasets, benchmarks,
and evaluation strategiesConduct baseline experimentsPerform literature comparisonsPrepare technical reports and presentationsExperimental ResearchReproduce existing research papersDesign and execute experimentsAnalyze results and failure casesDevelop improved approachesPotential Research AreasSelf-Supervised LearningVision Foundation ModelsMultimodal LearningImage RetrievalActive LearningRepresentation LearningSports AnalyticsAthlete Retrieval and SearchLarge-Scale Visual UnderstandingDataset and Benchmark CreationVision-Language ModelsImage Ranking and Quality AssessmentOpen-Vocabulary Image SearchWhat We ExpectCandidates should demonstrate:Strong curiosity and independent thinkingAbility to read and understand research papersAbility to critically analyze existing methodsCreativity in identifying recent research directionsStrong problem-solving skillsWillingness to challenge assumptions and existing approachesPreferred SkillsPythonMachine LearningDeep LearningPy TorchComputer VisionScientific WritingResearch MethodologyPrior research experience is beneficial but not required.DeliverablesEach intern will be expected to:Produce detailed literature reviewsIdentify promising research opportunitiesSubmit multiple research proposalsPresent findings and technical evaluationsDevelop experimental validation plansContribute to research reports and potential publicationsSelection ProcessApplicants will be asked to complete a short research assignment.The assignment will evaluate:Research thinkingAbility to identify gaps in existing workLiterature review skillsNovelty and practicality of proposed ideasTechnical depthWhat You Will GainHands-on experience with real-world large-scale datasetsExposure to cutting-edge AI researchTraining in research methodologyExperience in developing research proposalsOpportunities to contribute to publicationsStrong preparation for MS, Ph D, and research-oriented careersImportant NoteThis is an unpaid research internship intended for students and engineers who are genuinely interested in AI research, publications, and advanced problem-solving. Please apply only if you are comfortable with an unpaid position and are motivated primarily by research experience and learning.