Machine Learning Engineer, Foundation Model Applications at TikTok

DescriptionTikTok 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 UsCreation 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 TeamWe 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 systemsQualificationsMinimum 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 problemsPreferred 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 ThinkingTikTok 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 RegularExperienced