Post Training Algorithm Engineer

• Convert the current drug discovery data into data that can be used for prospective model testing (benchmarks) and and model training
• Finetune and post-train open source models such as Qwen, LLaMA, DeepSeek and others for AI for science tasks
• Integrate expert post-trained models into the current drug discovery workflows, interfaces and tools

• Over 2-3 years experience in LLM post-training experience
• Master degree or above in computer science, AI related major
• Demonstrated experience in setting up the environment, sequence, and data for post-training of open source models
• also experience in benchmarking the performance of the post-trained models
• Increasing the efficiency of training to minimize training cost
• Experience in post training in major LLM vendors is preferred

Experience in post training in major LLM vendors is preferred