Machine Learning Engineer Intern

About the role

About The Company

TikTok is a leading global platform for short-form mobile videos, renowned for its innovative approach to content creation and consumption. With a vibrant community of users worldwide, TikTok continuously pushes the boundaries of entertainment, education, and social engagement. The company is committed to fostering a diverse and inclusive environment, leveraging cutting-edge technology to deliver personalized experiences and empower creators. As a pioneer in the digital space, TikTok aims to inspire creativity and bring joy to millions across the globe, making it an exciting place for talented individuals to grow and make an impact.

About The Role

We are seeking motivated and talented interns to join our Recommendation Algorithm team for the Fall 2025 semester. This internship offers a unique opportunity to work at the forefront of machine learning and recommendation systems, directly impacting the user experience on one of the world's most popular social media platforms. As an intern, you will collaborate with experienced researchers and engineers to develop scalable, innovative solutions that enhance content relevance and platform safety. You will gain hands-on experience in designing, implementing, and optimizing machine learning models, while contributing to real-world challenges faced by TikTok's recommendation ecosystem.

Qualifications

Ideal candidates should be currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field, with a strong foundation in programming (Python, Java, or C++). Prior experience with machine learning frameworks such as TensorFlow or PyTorch is preferred. Candidates should possess a solid understanding of algorithms, data structures, and statistical analysis. Excellent problem-solving skills, curiosity, and a collaborative mindset are essential. Strong communication skills and the ability to work effectively in a fast-paced environment are also important. Applicants should demonstrate a passion for technology and a keen interest in recommendation systems, natural language processing, or related areas.

Responsibilities

Responsibilities include supporting the development and deployment of advanced recommendation algorithms that improve user engagement and content diversity. Interns will work on designing and implementing machine learning models to understand user preferences, content relevance, and platform safety. They will participate in data analysis, feature engineering, and model evaluation to ensure optimal performance. The role involves collaborating with cross-functional teams to integrate solutions into production systems, troubleshooting issues, and iterating on models based on real-world feedback. Interns will also contribute to research efforts aimed at enhancing robustness, fairness, and scalability of recommendation models. Additionally, they will gain exposure to end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.

Benefits

Interns at TikTok will receive competitive compensation and access to a comprehensive benefits package. The program offers valuable industry experience, mentorship from leading experts, and opportunities for professional development through workshops and social events. Participants will have the chance to work on impactful projects that influence millions of users worldwide. The internship also provides networking opportunities within a global organization, fostering connections with professionals across various domains. TikTok is dedicated to supporting the growth of emerging talent and providing an inclusive environment where interns can thrive and develop their skills.

Equal Opportunity

TikTok is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and interns. We do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, disability, or any other protected status. We believe that diverse perspectives foster innovation and drive success, and we are dedicated to providing equal opportunities for everyone to grow and succeed within our organization.