
Algorithm Engineer
1 week ago
• Build and maintain algorithms for game R&D and operations, including data mining, feature engineering, model training, optimization, and validation.
• Apply LLMs to automate and improve development workflows.
• Develop models for anti-cheat/fraud detection, recommendation, and other classification tasks.
• Coordinate with Chengdu Algorithm Team regarding roadmap planning and delivery.
Requirements
• Bachelor's degree or higher in Computer Science, Mathematics, Statistics, or a related field.
• Practical experience with LLMs (e.g., fine-tuning, prompt engineering, agents/tool integration).
• Strong knowledge of machine learning and deep learning methods.
• Proficient in Python; experienced with at least one deep learning framework (PyTorch/TensorFlow). Experience in deployment/optimization is a plus.
• Passion for games and emerging technology; fast learner.
Nice to Have
• Experience in anti-cheat/fraud, RAG, or long-context engineering in LLMs, tools such as ComfyUI, or training with LoRA.
- Entry level
- Full-time
- Computer Games
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