Machine Learning Engineer • Senior

Who you are

You are a visionary Machine Learning Engineer with a strong background in developing advanced algorithms and models. With 5+ years of experience in machine learning, you have tackled complex challenges in data extraction and processing, particularly in the context of scientific literature. Your expertise in Natural Language Processing (NLP) and machine learning frameworks allows you to create innovative solutions that drive value from unstructured data.

You possess a deep understanding of knowledge extraction techniques, including Named Entity Recognition (NER) and Retrieval-Augmented Generation (RAG). Your experience with post-training methods enables you to refine models for optimal performance. You are passionate about applying machine learning to real-world problems, particularly in the field of Materials Science, and you thrive in collaborative environments where you can share your insights and learn from others.

What you'll do

In this role, you will be responsible for building the next generation of knowledge extraction engines that will revolutionize how scientific literature is processed. You will work on complex tasks such as reconstructing tables from patents and academic papers, synthesizing experimental workflows, and mapping chemical properties. Your work will involve leveraging advanced machine learning techniques to transform massive amounts of unstructured scientific literature into high-value, structured R&D databases.

You will collaborate closely with cross-functional teams, including data scientists and domain experts, to ensure that the solutions you develop meet the needs of researchers and industry professionals. Your role will also involve experimenting with new methodologies and technologies to continuously improve the performance and accuracy of the knowledge extraction engines.

What we offer

At PatSnap, you will be part of a dynamic team that is dedicated to pushing the boundaries of what is possible with machine learning in the field of Materials Science. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on cutting-edge projects that have a meaningful impact on the scientific community and beyond. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.