Data Science Engineer, TikTok Feed Optimization

4 days ago


San Jose, California, United States Tik Tok Full time
About the Role

TikTok is a leading destination for short-form mobile video, inspiring creativity and bringing joy to users worldwide. As a Machine Learning Engineer on our Core Feed Recommendation team, you will play a crucial role in driving critical product decisions and platform growth.

Key Responsibilities:
- Develop industry-leading recommendation systems to improve user experience, content ecosystem, and platform security;
- Deliver end-to-end machine learning solutions to address critical product challenges;
- Own the full-stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance;

Qualifications

We are looking for highly skilled professionals with a strong background in computer science or a related major, and at least 2 years of experience in software development using C++, Python, or other programming languages. Your expertise in applied machine learning, machine learning infrastructure, large-scale recommendation systems, and market-facing machine learning products will be invaluable in this role. Strong communication and teamwork skills are essential, as well as a passion for techniques and solving challenging problems. We offer a competitive salary range of $180,000 - $250,000 per year, depending on your level of experience.

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