(General Hire) Senior Machine Learning Engineer, TikTok Recommendation

About the Team Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is a diverse group of world-level researchers and engineers, who develop and support the production recommendation systems that drive product impact. The team is fast-paced, collaborative and impact-driven. What is General Hire ? If you're applying under the General Hire track for the TikTok Recommendation Organization, you'll go through a unified interview process designed to assess your fit across the whole TikTok Recommendation Organization. Based on your background, experience, interests, and interview performance, we'll help identify one or more teams that are the best match for you. Responsibilities - What You'II Do - Develop recommendation systems that improve user experience and platform content ecosystem. - Build machine learning systems and pipelines to address critical product challenges. - Own a full stack machine learning system(s), lead its development, support, and improvements. - Collaborate with cross functional teams to design product strategies and build solutions to grow TikTok in the US market. Minimum Qualifications - Bachelor degree or above in computer science or a related major, with 4+ years of related work experience. - Proficient in C/C++, Python and have a deep understanding of data structure and algorithm design. Practical experience using these languages building large-scale production systems. - Solid knowledge and practical experience developing machine learning systems with at least one popular deep learning framework (e.g., PyTorch, TensorFlow). - Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product. - Good written and verbal communication skills.