Job Title: Machine Learning Research Engineer (Remote Allowed)

Company Name: NOMA AI

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/roib96shbpy4nb3t

Job Description: Posted 2mo agoMachine Learning Research Engineer (Remote Allowed)@ NOMA AIView All JobsWebsitePittsburgh, Pennsylvania, United StatesRemoteFull TimeResponsibilities:Develop models, Research ML, Deploy toolsRequirements Summary:PhD in Computer Science/ML or related field; strong publications; 5+ years programming; Python stack; ML frameworks; time-series/real-time ML; healthcare data experience.Technical Tools Mentioned:Python, NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow
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 healthcareResearching, developing, and deploying real-time machine learning-based AI tools in healthcareAchieving long-term and ambitious product development goals while identifying intermediate milestonesBeing independent problem solvers while operating in a collaborative environment Qualifications:Ph.D. degree in Computer science, Machine Learning, AI, or another equivalent fieldRelevant publicationsAbility to rapidly iterate and evaluate machine learning methodologies to solve novel problemsExperience working with popular machine learning frameworks, including NumPy, Pandas, Scikit-learn, PyTorch, TensorFlowExperience working with high-frequency signal and waveform data Experience with time-series data, high-frequency data, prediction modeling, and imbalanced dataExpert Knowledge of Python.Have experience in working and collaborating with others on team projectsAbility to deliver with limited guidance, working on problems that are not structured5+ years of programming experience Preferred Qualification:Experience with medical data, electronic health records, biosensor data, etc.Experience with real-time environments and model deploymentExperience with major cloud environments and other distributed systemsInterest and experience  in software engineering (data pipelines)