LLM platform R&D engineer - AI Innovation Center

Minimum Qualification

• Bachelor's degree or higher in Computer Science or related fields, with good communication and teamwork skills;
• Solid programming foundation, good coding style, familiar with multi-thread programming, distributed computing, network communication, memory management, and design patterns;
• Experience in engineering R&D or infrastructure, proficient in at least one of the following development languages: C/C++, Python, Golang; and experience researching and developing distributed systems, with the capability and experience in optimizing system performance.
• Experience in developing and deploying large-scale models, including data processing, training, deployment, and evaluation and Dev Ops/MLOps;
• Experience in large-model service deployment and optimization and distributed scheduling, computing, and storage projects like K8s, Ray, Hadoop, Spark, HDFS;
• Familiarity with deep learning frameworks such as Tensor Flow, PyTorch, and understanding of large-model engineering frameworks like vllm/langchain.

• Passion for technology, good communication skills and team spirit