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SeniorFull-timePythonMachine LearningGoAINLP
Salary Range
$95,472 - $129,168 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a visionary Machine Learning Engineer to build the next generation of knowledge extraction engines for Materials Science. This role involves tackling complex aspects of patents and academic papers, transforming unstructured scientific literature into structured R&D databases.
Key Responsibilities
- →Develop end-to-end data extraction pipelines integrating OCR, Layout Analysis, and Semantic Parsing to capture chemical formulas and experimental parameters from complex documents.
- →Design and implement robust RAG architectures for highly relevant document retrieval for complex scientific queries.
- →Enhance LLMs' reasoning capabilities through post-training techniques for Materials Science data extraction.
Requirements
- ✓Bachelor's degree or higher in Computer Science, Artificial Intelligence, or a related quantitative field.
- ✓Proficient in AI-enhanced development tools and solid programming skills in Python with a focus on algorithmic implementation.
- ✓3+ years of hands-on experience in NLP/LLM/RAG, with a proven track record of deploying complex information extraction systems in production.
- ✓Excellent communication skills with the ability to understand product requirements and solve data/RAG challenges within a cross-functional team.
