职位&公司对比

职位详情

• 北京
• 不限
• 硕士

• 发表算法相关优秀论文
• 语音算法
• C/C++
• 深度学习
• 大模型算法
• 多模态算法
• 算法工程化经验
• 参加算法相关竞赛/获奖
• 推荐算法
• Python

to enable state-of-the-art networks to run on devices with limited power, memory, and computation. Members of our teamkanzhun enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary talented team working on device generative AI optimization. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, PC, autonomous vehicles, robotics, and IOT devices. The R&D work responsibility for this position focuses on the following： Algorithms research and development in the area of Generative AI, LVM, LLM, Multi-modality Efficient inference algorithms research 直聘and development, e.g. batching, KV caching, efficient attentions, long context, parallel decoding Advanced quantization algorithms research and development for complex generative models, e.g. GPTQ, Aumatic mixed precision, llama.cpp, Model compression, lossy or lossless, structural and neural search, distillation. Optimization based learningkanzhun and learning based optimization. 来自BOSS直聘Generative AI Systems prototyping, e.g. AI agent. Apply solutions toward systems innovations for model efficiency advancement on device as well as in the cloud. Python, Pytorch programmer, C/C++ Preferred Qualifications: • Master's degree in Computer Science, Engineering, High Performance Computation, Information Systems, or related field. PHD's degree is preferred. • 3+ years of experience with Machine Learning algorithms orBOSS直聘 systems engineering or related work experience.