Tik Tok
Tech Lead, Machine Learning Engineer, Foundation Model Applications
Tik Tok, San Jose, California, United States, 95199
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 We are a pioneering Machine Learning team at TikTok, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience, an avenue that our organization sees as a very promising future direction. Our team culture cherishes the "First Principles Thinking" approach, and we deeply value understanding things at their core and focusing on delivering solid, well-grounded solutions.
What you'll do: - Understand and optimize TikTok's industry-leading recommendation system - Deploy, prompt, and fine-tune cutting-edge foundation models - Apply foundation models to enhance TikTok's recommendation system and product offerings, improving the experience of billion-scale consumers and creators - Collaborate with cross-functional teams, including product managers, data scientists, and product engineers, to form and solve problems, refine machine learning algorithms, and communicate results - Regularly run A/B tests, perform analyses, and iterate algorithms based on results - Work with infrastructure teams on improving the efficiency and stability of machine learning systems
Qualifications
Minimum Qualifications: - Hands-on experience in one or more of the following areas: Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer Vision - Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms - Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet) - Excellent communication and teamwork skills, and a passion for learning new techniques and tackling challenging problems
Preferred Qualifications: - Prior research/industry experience with deploying, prompting, and fine-tuning foundation models - Prior research/industry experience with applied machine learning, or large-scale recommendation systems - Publications at major AI-related conferences such as NeurIPS, ICML, ICLR, AAAI, IJCAI, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ICDM, SDM, RecSys, or simply on arXiv but with large impact - Strong track record in AI-related competitions, or participation in public/open-source AI-related projects of high visibility - A strong passion for First Principles Thinking
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.
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 gprd.accommodations@tiktok.com
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 We are a pioneering Machine Learning team at TikTok, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience, an avenue that our organization sees as a very promising future direction. Our team culture cherishes the "First Principles Thinking" approach, and we deeply value understanding things at their core and focusing on delivering solid, well-grounded solutions.
What you'll do: - Understand and optimize TikTok's industry-leading recommendation system - Deploy, prompt, and fine-tune cutting-edge foundation models - Apply foundation models to enhance TikTok's recommendation system and product offerings, improving the experience of billion-scale consumers and creators - Collaborate with cross-functional teams, including product managers, data scientists, and product engineers, to form and solve problems, refine machine learning algorithms, and communicate results - Regularly run A/B tests, perform analyses, and iterate algorithms based on results - Work with infrastructure teams on improving the efficiency and stability of machine learning systems
Qualifications
Minimum Qualifications: - Hands-on experience in one or more of the following areas: Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer Vision - Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms - Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet) - Excellent communication and teamwork skills, and a passion for learning new techniques and tackling challenging problems
Preferred Qualifications: - Prior research/industry experience with deploying, prompting, and fine-tuning foundation models - Prior research/industry experience with applied machine learning, or large-scale recommendation systems - Publications at major AI-related conferences such as NeurIPS, ICML, ICLR, AAAI, IJCAI, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ICDM, SDM, RecSys, or simply on arXiv but with large impact - Strong track record in AI-related competitions, or participation in public/open-source AI-related projects of high visibility - A strong passion for First Principles Thinking
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.
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 gprd.accommodations@tiktok.com