Algorithm Tech Lead

1 week ago


Singapur, Singapore TIKTOK PTE. LTD. Full time

TikTok 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. Diversity & Inclusion 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. Responsibilities The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes: 1. Build prediction/uplift NN model to improve LIVE feature intelligence; 2. Mine and interfere potential crowds to gain a higher ROI operation for both LIVE streamer and watcher; 3. Make detailed analysis on user data and system data to find out user experience optimiaztion zoom; 4. Other work like user growth strategy, cold-start strategy, etc. Job Description 1. Participate in the optimization of LIVE monetization business and serve the LIVE experience of billions of global users; 2. Adopt cutting-edge machine learning model to scientifically model massive user behaviour and consumption data, build high-performance/high-reliability architecture services, and bring users the ultimate experience in LIVE consumption; 3. Deeply participate in product/business discussions, fully analyze and understand user behaviour patterns, and provide optimization directions for the overall business. Qualifications Minimum Qualifications 1. Familiar with C/C++/ Python development, familiar with Linux multi-threaded /multi-process; 2. Familiar with commonly used machine learning and deep learning algorithms, including but not limited to boost machine, dnn, reinforcement learning, etc.; 3. Solid maths foundation, including probability statistics, numerical optimization, etc., sensitive to data, good at discovering, analyzing and solving problems from data; 4. Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience; Preferred Qualifications 1. Experience in large-scale recommend system, advertising system, search engine is preferred; 2. 5 years of experience in game value strategy, e-commerce value strategy, and user psychology research is preferred; #J-18808-Ljbffr


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