(General Hire) Research Scientist Intern (TikTok Recommendation) - 2026 Start (PhD) Algorithm S[...]

(General Hire) Research Scientist Intern (TikTok Recommendation) - 2026 Start (PhD)Location: San JoseEmployment Type: InternJob Code: A39768ResponsibilitiesBuild industry-leading recommendation system, improving user experience, content ecosystem, and platform security.Deliver end-to-end machine learning solutions to address critical product challenges.Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.Work with cross-functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsPhD degree in computer science or a related technical discipline.Proficient coding skills and strong algorithm & data structure using C++/Python or other programming languages.Experience with machine learning, familiar with at least one deep learning framework (e.g., PyTorch, TensorFlow).Experience in one or more of the following areas: NLP, CV, recommender systems, or related machine learning domains.Effective communication and teamwork skills.Preferred QualificationsAuthors of published papers in accredited academic conferences.Winners of algorithm and machine learning competitions such as ACM and Kaggle.Job InformationThe hourly rate range for this position in the selected city is $60- $60.BenefitsInterns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.EEO StatementQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; andExercising sound judgment.J-18808-Ljbffr