Job DescriptionJob DescriptionSalary:

The Company

Infinia ML, based in the Raleigh-Durham area, is an AI company specializing in automating workflows in healthcare. Infinia ML is part of Aspirion, a leading provider of complex claims and denials management services. Aspirion helps hospitals and healthcare systems minimize patient burden by maximizing reimbursement from insurance companies. Infinia ML has developed a versatile and standardized platform for processing written content in documents, such as medical records, insurance claims, correspondence and more leveraging the power of ML, including LLMs.

The Role

Infinia ML is seeking a AI/ML Applied Scientist with a desire to join a fast-growing company in the healthcare space. You will work with a dynamic team of data scientists and engineers, collaborating on new machine learning algorithms and their application to automated document processing. We're searching for individuals who thrive on tackling real-world problems and relish the flexibility and adaptability of our work environment.

Typical activities will include:

• Developing machine learning algorithms and statistical models for document processing
• Curating, processing, characterizing, and managing business-critical data
• Collaborating with the product team on developing use-case-specific solutions
• Collaborating with the engineering team on solution integration and maintenance

Candidates must have the following characteristics:

• Prior experience with Natural Processing (NLP) and Large Models (LLMs)
• Ability to independently identifyand design solutions to data-driven problems, evaluate and interpret results, and determine next steps
• Ability to develop and prototype solutions efficiently and accurately
• Self-motivated with a strong desire to learn new technologies in a fast-moving field
• Ability to collaborate and communicate effectively with diverse groups
• Must be a US or a Green Card Holder

candidates will meet many of the following qualifications:

• Advanced degree in a relevant quantitative field (statistics, computer science, applied mathematics, etc.)
• 3+ years experience in machine learning, data science, data engineering, and/or computational software development
• 5+ years development in Python, including libraries such as NumPy, pandas, scikit-learn, matplotlib, PyTorch, spaCy, Flair, Hugging Face
• Experience with software development best practices
• Experience with Linux
• Experience with cloud environments, e.g., AWS, Azure, Google Cloud
• Research experience in large models (LLMs) would be a plus
• This is a remote position, but local candidates are