E-Commerce Recommendation Systems Specialist
4 days ago
We are seeking a skilled Recommendation Algorithm Engineer to join our team in developing innovative algorithms and techniques to improve user engagement and satisfaction.
- Create large-scale e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations.
- Analyze and extract relevant information from large amounts of various data to design efficient user interest models.
- Design, develop, evaluate, and iterate on predictive models for candidate generation and ranking, including real-time data pipelines, feature engineering, model optimization, and innovation.
A successful candidate will have experience in applied machine learning, deep learning tools such as TensorFlow/PyTorch, and strong programming skills. Knowledge of collaborative filtering, matrix factorization, and natural language processing is a plus.
As a member of our team, you will have the opportunity to work with a talented group of engineers and scientists to drive impact and growth. We offer a collaborative and dynamic work environment that encourages creativity and innovation.
To succeed in this role, you should have:
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Strong programming skills in languages such as Python, C++, or Java.
- Experience in applied machine learning and deep learning tools.
- Familiarity with data mining, data preprocessing, and feature engineering.
If you are passionate about developing innovative solutions and working with a talented team, we encourage you to apply.
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