Machine Learning Engineer

Morehouse School Of Medicine - Atlanta, GA

Full-time

Atlanta, GA

Educational Services

About the position

The Machine Learning Engineer at Morehouse School of Medicine will play a pivotal role in the Cardiovascular Research Institute (CVRI), focusing on the development and validation of innovative machine learning approaches aimed at early prediction of chronic diseases. This position involves collaboration with experts in machine learning and distributed systems, contributing to academic medical innovation projects, and facilitating community-based participatory research to address health disparities among vulnerable populations.

Responsibilities

• Design, develop, and deliver machine learning and deep learning solutions, including problem definition, data acquisition, exploration, training, testing, and evaluating machine learning models.
• Manage multiple initiatives to create and improve the CVRI's AI models and analytics.
• Work across the entire machine learning pipeline, including data exploration, feature engineering, model training, deployment, monitoring, and calibration/retraining.
• Collaborate closely with research faculty and staff, including project managers, graphic artists, UX designers, and other developers.
• Develop automated systems and tools to process, clean, and verify data integrity.
• Provide analysis and support data interpretation to both technical experts and lay users of public health data, including structured and unstructured data.
• Assist in monitoring data quality issues related to user data products.

Requirements

• Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related field with a track record of producing high-quality research.
• Minimum of two years of professional experience working with machine learning libraries and real-world data science problems.
• Experience in putting models into production and monitoring their effectiveness.
• Ability to express complex statistical concepts and technical information to researchers and non-scientific audiences.
• Strong problem-solving and analytical skills.
• Commitment to fostering and upholding an inclusive work environment.

Nice-to-haves

• Minimum of five years of experience in statistics, statistical methods, and statistical software.
• Experience leading projects and setting the technical direction.
• Prior publication of high-quality peer-reviewed research articles.
• Domain knowledge in biomedical informatics, healthcare, or a related field.
• Strong programming skills in Python, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with cloud services (AWS, GCP, Azure).
• Experience using statistical software for analyses (e.g., Stata, SAS, R).
• Familiarity with biostatistics or principles of analyzing public health data.
• Experience working with and deploying machine learning models.
• Experience providing data management and analytic support for complex surveys, longitudinal cohort studies, and/or randomized controlled trials.

Benefits

• Salary commensurate with experience
• Opportunity to work in a leading academic medical center
• Engagement in impactful research focused on health equity