[Remote] Machine Learning Engineer Intern (Monetization Technology - Ads Creative) - 2026 Start (BS/MS)

Note: The job is a remote job and is open to candidates in USA. TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Engineer Intern for their Monetization Technology team. The role focuses on enhancing ad creative understanding and optimization through innovative tech solutions, providing hands-on experience in a dynamic environment. Responsibilities Assist in utilizing algorithms to better understand advertisers, creators, and creatives, improving precision in match-making processes Contribute to online modeling of large-scale commercial traffic, optimizing the distribution strategy of creatives within the recommendation and ads systems Help develop allocation strategies for both natural and ads traffic, aimed at increasing both short-term and long-term value for advertisers and creators Collaborate with senior engineers to implement and test new algorithms that enhance the accuracy of content recommendations Participate in analyzing large datasets to identify trends and patterns, providing actionable insights for improving the ad targeting strategy Support the development of performance metrics to track the effectiveness of ad and creative distribution strategies Conduct experiments to validate new algorithms and strategies, ensuring scalability and efficiency in production systems Contribute to continuous optimization of machine learning models for better performance across diverse traffic and creative data Assist in preparing and presenting reports on model performance and recommendations to stakeholders Skills Currently pursuing a Bachelor's degree or higher in Computer Science or a related field Research/internship experience or coursework in machine learning (e.g., RecSys, NLP, CV, GE), with a preference for candidates with exposure to recommendation systems Solid understanding of data structures and algorithms, with proficiency in at least one programming language (e.g., Python, C++, Golang) Strong interest in exploring new technologies, with a demonstrated ability to analyze problems and find solutions Good communication skills, with an eagerness to collaborate within a team and learn from peers Strong enthusiasm for contributing to business growth and willingness to take on challenges in a dynamic environment Previous internship or research experience in machine learning/deep learning, with a focus on recommendation systems, or advanced ranking solution strategies like RAG/LoRA/MoE etc Familiarity with large-scale data processing and distributed systems Exposure to reinforcement learning or deep learning techniques for optimizing recommendation systems Knowledge of A/B testing and other experimental design techniques to evaluate algorithm performance Strong interest in content personalization and ad optimization technologies Experience with model deployment or working in production environments Benefits Interns have day one access to health insurance Life insurance Wellbeing benefits and more. Interns also receive 10 paid holidays per year 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. Company Overview TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance. It was founded in 2003, and is headquartered in Los Angeles, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship TikTok has a track record of offering H1B sponsorships, with 979 in 2025, 601 in 2024, 387 in 2023, 322 in 2022, 133 in 2021, 72 in 2020. Please note that this does not guarantee sponsorship for this specific role.