Iterative Health is seeking a Staff Machine Learning Engineer. This is a dynamic, fast-paced role that will require creative thinking and strong natural language processing, machine learning, and software development fundamentals. The successful candidate will work collaboratively with a diverse team of engineers and scientists in addition to having a track record of developing machine learning and especially deep learning and natural language processing models for solving challenging real-world scientific problems.

What you'll be doing:

The core responsibilities of this role include designing and implementing advanced and scalable deep-learning models on electronic health records to analyze various conditions and perform inferences. You will utilize structured and unstructured EHR to facilitate clinical trial optimization to facilitate IBD drug development.

Required skills:

• Graduate Degree in computer science or other quantitative fields or Bachelor of Science with similar practical experience in an industrial or research setting.
• In-depth knowledge and experience developing, troubleshooting, and validating deep learning models in Python using PyTorch.
• Significant professional experience with ML, DL, and NLP libraries.
• Strong written/verbal technical communication and interpersonal skills
• Proven working knowledge of Cloud Computing (AWS), PostgreSQL, Docker
• Regularly mentored and guided junior engineers.

Preferred skills:

• Ph.D. in computer science or other quantitative fields.
• Maintain deep technical and industry knowledge of state-of-the-art machine learning methods and applications of electronic health records.
• Prior experience leading the development of large projects, including technical design, breakdown of work, estimation, implementation, risk management, and deployment.
• Significant experience with developing deep learning models using PyTorch.
• Extensive experience with various services of Cloud Computing (AWS).