Backend Software Engineer Intern
2 months ago
**About Our Team**
TikTok's Recommendation Architecture Team is responsible for designing and optimizing the architecture for our recommendation system to provide the best experience for our users. The team focuses on system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, and realizing flexible and scalable high-performance storage and computing systems.
**What We're Looking For**
We're seeking talented individuals to join our team for an internship in 2025. Our internships aim to offer students industry exposure and hands-on experience. As a TikTok intern, you'll have the opportunity to watch your ambitions become reality as your inspiration brings infinite opportunities.
**Responsibilities**
- Participate in building large-scale e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations.
- Build long and short-term user interest models, analyze and extract relevant information from large amounts of various data, and design algorithms to explore users' latent interests efficiently.
- Design, develop, evaluate, and iterate on predictive models for candidate generation and ranking, including building real-time data pipelines, feature engineering, model optimization, and innovation.
- Design and build supporting/debugging tools as needed.
**Minimum Qualifications**
- Currently pursuing a Degree/Master/PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Strong programming and problem-solving ability.
- Experience in applied machine learning, familiar with common machine learning and deep learning models.
- Experience in Deep Learning Tools such as TensorFlow/PyTorch.
**Preferred Qualifications**
- Experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, and related conferences/journals.
- Experience in data mining/machine learning competitions such as Kaggle/KDD-cup.
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