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TikTok E-commerce Recommendation Engineer
2 weeks ago
At TikTok, our mission is to inspire creativity and bring joy. As a key player in our team, you will contribute to the development of large-scale live-streaming and short video e-commerce recommendation algorithms and systems.
We are a group of applied machine learning engineers and research scientists that focus on E-commerce video/live-streaming recommendations on the major traffic source of Tiktok ForU page, where we serve traffic for billions of users every single day. Our goal is to improve user engagement and satisfaction by developing innovative algorithms and ML techniques.
You will be responsible for:
- Participating in building large-scale (10 million to 100 million) live-streaming and short video e-commerce recommendation algorithms and systems.
- Designing, developing, evaluating and iterating on predictive models for candidate generation and ranking, including real-time data pipelines, feature engineering, model optimization and innovation.
- Building long and short term user interest models, analyzing and extracting relevant information from large amounts of various data, and designing algorithms to explore users' latent interests efficiently.
- Designing and developing various strategies using ML technology to improve user shopping experience, and resolving e-commerce business challenges, such as the cold start problem and traffic allocation.
To succeed in this role, you should have:
- A Bachelor's degree or higher in Computer Science or related fields.
- Strong programming and problem-solving ability.
- 1 year of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.
- Experience in Deep Learning Tools such as tensorflow/pytorch.
- Experience with at least one programming language like C++/Python or equivalent.
We value diversity and inclusion at TikTok. We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. If you need assistance or a reasonable accommodation, please reach out to us.