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 Build machine learning (ML) models for TikTok recommendation and improve TikTok feed recommendation infrastructure by implementing ML-based recommendation strategies and rules to satisfy regulations and/or business requirements. Improve new user recommendation experience on TikTok using ML model/algorithm and build features for ML models. Build new pipelines for ML model training/iteration. Collaborate with mobile client team to onboard new signals to backend for recommendation optimization. Improve ranking/searching efficiency for TikTok Creator Marketplace and recommend creator to advertiser for collaboration. 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.

Qualifications Must have a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 4 years of experience in each of the following: Building end-to-end model training pipelines using Python and Hadoop MapReduce, and training large-scale models using deep learning and machine learning (ML); Using SQL and Spark to perform large-scale dataset analysis, including statistical, user behavior, probability distribution, and time series analyses; Conducting data analysis to improve the performance of the following ML products: Input recommender, article answers, article recommendation, and app event optimization; and Debugging and maintaining the performance of the following ML products: Input recommender, article answers, article recommendation, and app event optimization; Project management, including collaborating with cross-functional teams to design, develop, and implement data driven business strategies; and Collaborating with cross-functional stakeholders including engineers, data analysts, and quality assurance analysts to drive product implementation. Travel Requirement: Domestic and international travel required up to 10%. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $224000 - $410000 per year To Apply, click the apply button below. Contact if you have difficulty submitting resume through the website.