AI Engineer – Research Algorithm/Model Expert (Scientific Brain Domain)
Core
Develop AI algorithms and computational modeling to optimize predictive models for catalyst discovery, synthesis, and property prediction in new energy research.
Role type
Senior AI Research Engineer (Scientific Brain Domain)
Builds
AI-driven catalyst design strategies and predictive models for chemical engineering
Domain
New Energy / Chemical Engineering / Artificial Intelligence
Deliverable
production ML models
Required skills
Transformer architectures, large model development (BERT, GPT, LLaMA), distributed training, model parallelism, model compression, RLHF, PEFT, computational modeling, chemical data analysis
Preferred skills
Robotics-based high-throughput experimentation, interdisciplinary collaboration
Technologies
DeepSpeed, Megatron, ChatGPT
Responsibilities
Develop AI algorithms to optimize predictive models for catalyst discovery; Apply robotics-based high-throughput experimentation to synthesize and test catalyst candidates; Use AI to analyze chemical data and predict catalyst properties; Employ AI-based computational modeling to simulate reactant adsorption and reaction pathways.
Seniority
Senior, hands-on IC with research track record