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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our 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! Responsibilities Analyze user behavior and apply machine learning (ML) algorithms to optimize content consumption and production experience by understanding product objectives and ML techniques to improve model and recommendation strategy. Design and apply ML algorithm and recommendation strategies to improve users’ experience on platform and content, including videos and livestreams. Build industry leading recommendation system, and develop highly scalable classifiers and tools leveraging ML. Build full-stack search engine system and combine information retrieval technology with modern ML methods from related fields such as natural language processing (NLP), Computer Vision (CV), and recommender system. Work on highly scalable classifiers, predictive models and algorithms in big data mining, CV, NLP, and other domains. Work with engineering teams to implement model pipeline and deploy services at scale. Conduct offline and online experiments, analyze data accordingly and evaluate to improve algorithms and strategies. Work with Data Engineers, Data Analysts, Product and other engineers to deliver features to drive the user growth of products. Build the core systems and algorithms development including query understanding, result ranking, query recommendation, and system reliability. Partner with product managers and product strategy and operation team to define product strategy and features. Collaborate with strategy team, product managers, policy team and other key stakeholders to define products and drive initiatives from engineering viewpoint. Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.

Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Operations Research, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 4 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Operations Research, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 6 years of related work experience, out of which 5 years must be post-bachelor's, progressive related work experience Of the required experience, must have 4 years of experience in each of the following: Using SQL and Spark to perform large-scale dataset analysis, including statistical, user behavior, probability distribution, and time series analyses; Coding using Python or C++; Building end-to-end model training pipelines using Python and Hadoop MapReduce, and training large-scale models using deep learning and machine learning; Researching, testing and productionizing state-of-the-art deep learning models and methods; Developing data-driven prediction models using classic statistical methods, machine learning, and neural network/deep learning; and Programming using Python and PyTorch to build large-scale learning systems. Type: Full time, 40 hours/week Location: Bellevue, WA Salary Range: $244530 - $585200 per year To Apply, click the apply button below. Contact if you have difficulty submitting resume through the website.