Machine Learning Scientist

NOMA AI Mission:

NOMA is developing a novel AI platform for healthcare that leverages deep tech and machine learning to analyze multimodal medical data and help clinical teams proactively identify risks of medical complications. Our first product focus is on maternal hemorrhage and excessive bleeding of mothers that can happen during labor and delivery and continues to rank as a leading cause of maternal mortality and morbidity in the U.S.

The Opportunity:

NOMA AI Inc. is looking for candidates for a machine learning research engineer position to participate in developing cutting-edge machine learning and data analytic solutions in healthcare. The successful applicant will participate in the development, research, evaluation, and deployment of machine learning methodologies for real-time clinical decision systems, patient monitoring, and alerting solutions. Our team includes individuals with strong machine learning, software engineering, and healthcare backgrounds. In addition, we wish to reach out to talented individuals who are passionate about revolutionizing healthcare and who are interested in:

Working on problems that are at the forefront of both industry and scientific research in ML for healthcare
Researching, developing, and deploying real-time machine learning-based AI tools in healthcare.
Achieving long-term and ambitious product development goals while identifying intermediate milestones
Being independent problem solvers while operating in a collaborative environment

Qualifications:

Ph.D. degree in Computer science, Machine Learning, AI, or another equivalent field
Relevant publications
Ability to rapidly iterate and evaluate machine learning methodologies to solve novel problems
Experience working with popular machine learning frameworks, including NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow
Experience working with high-frequency signal and waveform data
Experience with time-series data, high-frequency data, prediction modeling, and imbalanced data
Expert Knowledge of Python.
Have experience in working and collaborating with others on team projects
Ability to deliver with limited guidance, working on problems that are not structured
5+ years of programming experience

Preferred Qualification:

Experience with medical data, electronic health records, biosensor data, etc.
Experience with real-time environments and model deployment
Experience with major cloud environments and other distributed systems
Interest and experience in software engineering (data pipelines)