Machine Learning Research Engineer

Job not on LinkedIn

February 12

🔔 Pennsylvania – Remote

Although this job is listed in Pennsylvania, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

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The American Institute of Architects (AIA)

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Education • Non-profit • Architecture

The American Institute of Architects (AIA) is the largest and most influential network of architects and design professionals, with over 100,000 members dedicated to high standards of practice and design. AIA provides resources, advocacy, and a supportive community for its members, encouraging professional development and promoting excellence in architecture. Through events, continuing education courses, and a comprehensive resource center, AIA empowers architects to connect, learn, and lead in the field of architecture.

51 - 200 employees

Founded 1857

📚 Education

🤝 Non-profit

📋 Description

• NOMA AI Inc. is seeking a machine learning research engineer to develop AI tools for healthcare • Focus on real-time clinical decision systems and monitoring solutions • Work within a team passionate about revolutionizing healthcare

🎯 Requirements

• 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 • 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)