Looking for enthusiastic AI researcher with a strong background in physical chemistry to drive AI4Chemistry projects at our newly established research Headquarters in Singapore.
You will work as part of a dynamic, interdisciplinary team of organic chemists, mechanical engineers, fellow machine learning engineers, and DevOps specialists to build next-generation AI systems for our automated laboratory
Key responsibilities
Build and maintain end-to-end pipelines for data collection, data preparation, model training, model evaluation, deployment and monitoring.
Solve optimization and designing problems in synthetic chemistry.
Adapting physical chemical theories into a data-driven, deep learning framework to solve key problems in the pharmaceutical industry.
Implement code, optimize performance, conduct testing, and ensure reliable maintenance.
Produce clear, well-structured technical documentation.
Necessary qualifications and qualities
Fast learner with a master's degree or higher in chemical engineering, computational chemistry, computer science or related fields from a world-renowned institution, with three or more years of work experience.
Strong programming skills, proficient in at least one mainstream programming language (Python, Java, C++, etc.) comfortable working in Linux proficient with Git or other version-control systems. Clean, readable, and well-structured code style is a must.
Solid mathematical and physical chemistry foundations and good familiarity with core ideas of physical chemistry, especially solution theories.
Familiar with common optimization algorithms and proficient in standard machine learning algorithms.
Proficient in at least one major DL stack such as JAX or PyTorch.
Experience in NLP, RL, generative models, or graph neural networks is a strong plus.
