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Job Title: Algorithm Engineer – Recommendation Systems About the Role: We’re seeking a skilled Algorithm Engineer to develop next-generation recommendation systems for a high-traffic gaming platform. You’ll design algorithms that personalize content, boost engagement, and optimize conversion across feeds, search, channels, and in-game experiences. Key Responsibilities: Build and optimize recall, ranking, and re-ranking models for personalized recommendations. Analyze user behavior, preferences, and content metadata to create robust user and content profiles. Collaborate with product, engineering, and analytics teams to turn business requirements into scalable solutions. Leverage large-scale real-time and offline data for modeling, similarity computations, and conversion analysis. Explore multi-modal data (text, image, video) to enhance recommendation diversity and personalization. Requirements: Bachelor’s or higher in CS, Math, Statistics, or related field. 3+ years of experience in recommendation systems or algorithm development. Strong grasp of collaborative filtering, embeddings, sequence modeling, and ranking strategies. Solid analytical, problem-solving, and teamwork skills. Experience with cloud AI platforms or recommendation engineering is a plus. Why Join Us: Work on cutting-edge recommendation tech for a growing gaming platform. Collaborate with a passionate, cross-functional team. Opportunity to experiment with multi-modal AI and state-of-the-art algorithms.

Job Responsibilities: Implement AI applications according to requirements, including large model calls, API development, and data processing. Build an enterprise knowledge base (data cleaning, embedding, vector retrieval). Use vector databases (Milvus/Qdrant/FAISS, etc.) to complete indexing, retrieval, and debugging. Write scripts, DAG processes, MCP tool plugins, and perform other basic engineering work. Job Requirements: Proficient in Python with basic backend development skills. Experience using at least one large model API; RAG/knowledge base experience is preferred. Familiar with either a vector library or an Agent framework. Experience in AI application implementation or a strong interest in large models; strong hands-on skills. Basic knowledge of algorithms and NLP/ML. Experience Requirements: 3+ years of experience in AI-related fields; mathematics, computer science, or related majors preferred. Has practical experience in implementing large-scale enterprise-level models.