Machine Learning Engineer Intern (Core Feed Recommendation) - 2024 Start SingaporeInternR&DUndergrad/Master Intern- 2024 StartJob ID: A255245 Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. About the Team TikTok Core Feed Recommendation team sits in the center of TikTok, designs, implements and improves the core recommendation algorithm that powers the "for you" feed, "following" feed, etc. of the TikTok app. The recommendation system we built connects hundreds of millions of users with relevant content out of billions of videos in real-time, and inspires high-quality content creation for millions of creators on the platform. The team is at the intersection of cutting-edge machine learning research and large-scale end-to-end production systems. We take pride in finding the right balance between solid applied research, elegant system design and being pragmatic. We have a strong user focus and a dedication to technical excellence. We are looking for talented individuals to join us for an internship in 2024. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok. Successful candidates must be able to commit to the following internship cycle below: - 1. Summer Internship - 06 May 2024 to 26 July 2024 (12 weeks) 2. Off cycle / Credit bearing - Starting 08 January 2024 We will prioritize candidates who are able to commit in either internship period. Please state your availability clearly in your resume (Start date, End date). Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities - Improve recommendation models at massive scales, through applying state-of-art machine learning techniques across all ranking phases including but not limited to retrieval, ranking, re-ranking and etc. - Conduct cutting-edge application-driven research to explore the frontier of recommendation algorithmic domain. Develop industry leading recommendation system. - Work cross functionally with product managers, data scientists and product engineers to understand insights, formulate problems, design and refine machine learning algorithms, and communicate results to peers and leaders. - Improve the experience of diverse cultural groups and people with various preferences around the world by optimizing every aspect of the recommendation system. - Run regular A/B tests, perform analysis and iterate algorithms accordingly. Qualifications 1. Solid programming foundation, good programming style, solid knowledge of data structures and algorithms. 2. Has strong theoretical foundation and extensive practical experience in the field of machine learning/deep learning , familiar with at least one mainstream deep learning framework. 3. Has exceptional ability to analyze and solve problems, passionate about solving challenging problems; good at communication, proactive at work, has a strong sense of responsibility, and possess good teamwork skills. Preferred Qualifications 1. Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc.; 2. Competition experience in machine learning, data mining, or ACM-ICPC/NOI/IOI competitions TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy. If you have any questions, please reach out to us at apac-earlycareers@tiktok.com. Apply Share to

This company is not affiliated with Joinrs as a partner.
 All available job offers can be found on their public website.
 Joinrs works to aggregate all the open job listings in the world.

TikTok

TikTok is seeking a Machine Learning Engineer Intern for their Core Feed Recommendation team in Singapore. The intern will work on improving recommendation models, conducting research, developing systems, and working cross-functionally with various teams. The ideal candidate has a solid programming foundation, experience in machine learning/deep learning, and strong problem-solving skills.

Machine Learning Engineer Intern (Core Feed Recommendation) - 2024 Start

Summary