TikTok
Machine Learning Engineer Graduate (TikTok Recommendation) - 2024 Start (BS/MS)
TikTok, San Jose, California, United States, 95199
Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, 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.About the Team: The recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-paced, collaborative, and impact-driven.We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Responsibilities
Build industry-leading recommendation systems, 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.Qualifications
Minimum Qualifications:
Bachelor's degree or above in the field of computer science or a related technical discipline;Proficient coding skills and strong algorithm & data structure knowledge using C++/Python or other programming languages;Experienced in Machine Learning, familiar with at least one Deep Learning framework, e.g., PyTorch, TensorFlow;Effective communication and teamwork skills.Preferred Qualifications:
Experienced in one or more of the following areas: NLP, CV, Recommender Systems, and Machine Learning;Authors of published papers in top academic conferences is an advantage;Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantage.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. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
this link .
#J-18808-Ljbffr
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, 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.About the Team: The recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-paced, collaborative, and impact-driven.We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Responsibilities
Build industry-leading recommendation systems, 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.Qualifications
Minimum Qualifications:
Bachelor's degree or above in the field of computer science or a related technical discipline;Proficient coding skills and strong algorithm & data structure knowledge using C++/Python or other programming languages;Experienced in Machine Learning, familiar with at least one Deep Learning framework, e.g., PyTorch, TensorFlow;Effective communication and teamwork skills.Preferred Qualifications:
Experienced in one or more of the following areas: NLP, CV, Recommender Systems, and Machine Learning;Authors of published papers in top academic conferences is an advantage;Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantage.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. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
this link .
#J-18808-Ljbffr