About this role
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.
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 complex part(s) of the system, 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.
Qualifications
Minimum Qualification
- Bachelor degree or above in computer science or a related major, with 2+ 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 production systems.
- Solid knowledge and practical experience developing and training models 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.
Description from TikTok's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.
