Search and Recommend Algorithm Engineer搜推算法工程师

职位要求 / 描述

About us Bitget is one of the world's leading digital assets ecosystems. With over 120 million registered users, Bitget has one of the most comprehensive suites of blockchain products and services available via bitget.com. Our mission is to support the growth of the digital assets industry and we believe it represents the future of finance. What we do empowers the future of finance by ensuring secure, efficient and smart digital transactions. We are one of the fastest growing companies in the digital asset sector. If you are looking for cutting-edge work, where you will have opportunities to develop your career among peers who are experts in their field, and you believe in the future of digital currency, then look no further than Bitget! What you'll do • Search algorithm design and optimization: Responsible for designing and developing efficient search algorithms suitable for the entire APP content, to meet users' precise search needs for various texts, images, videos, etc. Thoroughly analyze the characteristics of the APP's entire content and user search behaviors, optimize the search ranking algorithm, improve the relevance and accuracy of search results, and ensure that users can quickly obtain the required information. • Recommendation algorithm design and optimization: Lead the research and development of content community recommendation algorithms, based on users' behavior data (browsing, liking, commenting, following, etc.), interest preferences, and content features, to build personalized recommendation models. Through optimizing the recommendation algorithm, increase the diversity, novelty, and user satisfaction of recommended content, increase user stay time and interaction frequency in the community, and have rich experience in recall-sorting full-chain modeling. • Data processing and model training: Responsible for collecting, organizing, and analyzing the massive data of the APP's entire content, including user behavior data, currency information data, content metadata, etc. Through data mining technology, extract valuable features to provide high-quality data support for search and recommendation algorithms. • Algorithm evaluation and effect improvement: Establish a scientific and reasonable algorithm evaluation system, use multiple indicators (such as accuracy, recall rate, click rate, conversion rate, etc.) to conduct regular evaluation and analysis of algorithm effects. Through A/B testing and other methods, compare the effects of different algorithm strategies, promptly identify problems and conduct targeted optimizations. • Cross-departmental collaboration and business support: Work closely with product, operation, and development departments to deeply understand the business goals and user needs of APP search and content community. Integrate search and recommendation algorithms deeply with product functions to ensure that algorithms can effectively support business development, such as conducting precise recommendations in conjunction with operation activities to increase activity participation. What you'll need • Bachelor's degree or above, majoring in computer science, mathematics, statistics, artificial intelligence, etc. • Have a solid theoretical foundation in machine learning and deep learning, familiar with common search algorithms (such as inverted index, BM25, etc.) and recommendation algorithms (such as collaborative filtering, content-based recommendation, deep learning recommendation models, etc.). Those who are familiar with natural language processing and computer vision basics are preferred, as it will help better handle multi-dimensional data in large-scale search. • Have more than 3 years of experience in search or recommendation algorithm-related work, and have project experience in fields such as cryptocurrency APP search recommendation, content communities, social media or information platforms, etc. • Proficient in Python programming, proficient in at least one deep learni

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