Tiktok - San Jose, CA
posted 27 days ago
TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As a Machine Learning Engineer in the Content Recommendation team, you will play a crucial role in designing and optimizing TikTok's content distribution and author growth mechanisms. This position involves working on large-scale recommendation algorithms, solving complex optimization problems, and implementing recommendation architectures tailored for various scenarios. You will have the opportunity to delve into the improvement and optimization of machine learning and deep learning algorithms, utilizing advanced techniques such as Mathematics, Computer Vision (CV), Natural Language Processing (NLP), multi-task learning, multi-modal technology, meta-learning, reinforcement learning, causal inference, metric learning, graph neural networks, active learning, and lifelong learning. In this role, you will be responsible for building an industry-leading recommendation system that enhances user experience, supports the content ecosystem, and ensures platform security. You will deliver end-to-end machine learning solutions to tackle critical product challenges and own the full stack of the machine learning system, optimizing algorithms and infrastructure to boost recommendation performance. Collaboration with cross-functional teams will be essential as you design product strategies and develop solutions to expand TikTok's presence in key markets. This position is not just about technical skills; it also requires strong communication and teamwork abilities, as well as a passion for tackling challenging problems in the field of machine learning.