About TikTokTikTok 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 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 TeamOur team plays a crucial role in ensuring the company’s success.
We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges.
It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey! ResponsibilitiesBuild a full-stack search engine system and combine information retrieval technology with modern machine learning (ML) methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems.
Utilize modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.
Design and implement tools to analyze the ML model's performance.Optimize the searching quality to provide TikTok's users the best search experience.
Optimize performance of ML system.Improve use-ability and flexibility of the ML infrastructure.
Qualifications Must have a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience.
- Of the required experience, must have 1 year of experience in each of the following : Coding using Python or C++;Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow;
- Developing code and identifying issues in Linux environment;Developing and deploying large-scale machine learning systems;
andUtilizing Big data framework Spark, Hadoop, or Flink. Type : Full time, 40 hours / weekLocation : San Jose, CASalary Range : $145000 - $250000 per year To Apply, click the apply button below.
Contact if you have difficulty submitting resume through the website.