About

Wu JunLin is a talented Machine Learning Engineer with over 3 years of relevant experience in the field. He is currently working at TikTok as a Machine Learning Engineer - Recommendation, where he is responsible for developing state-of-the-art industrial algorithms that bring happiness to billions of users. Prior to his current role, Wu JunLin worked at Shopee as a Machine Learning Engineer - PaidAds, where he focused on developing ads-related machine learning algorithms, embedding-based recall service based on user behavior, and discovering insights in historical data to improve the algorithm and enhance ads CTR in large scale datasets. Wu JunLin is also an entrepreneur and a researcher in NLP and recommendation systems. He has a Master's degree from National Tsing Hua University in the Institute of Information Systems and Applications, and a Bachelor's degree from Fu Jen Catholic University in Computer Science. Wu JunLin has a diverse tech stack that includes ML, NLP, Research Scientist, Spark, Tensorflow, Python, Golang, and Scala. He is an avid writer and shares his thoughts and insights on his personal blog. Wu JunLin is an ambitious and talented individual who is always looking for new challenges and opportunities to learn and grow. He is currently looking to hire for TikTok Singapore and has posted about internal referral opportunities on his LinkedIn profile.