Lead Member Technical Staff – Lead AI/ML Engineer

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

• Lead the design and development of machine learning models and AI solutions
• Select appropriate machine learning or deep learning models based on problem context and data availability
• Develop, train, test, and validate models using state-of-the-art methodologies and frameworks
• Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets
• Engineer features and performs exploratory data analysis to ensure data quality and model readiness
• Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow)
• Implement models into production environments, ensuring robustness, scalability, and maintainability
• Develop and maintain CI/CD pipelines for seamless model integration and deployment
• Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics
• Document model architecture, development processes, and performance evaluations thoroughly
• Share insights and technical know-how with team members to foster a culture of continuous learning and improvement
• Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices
• Analyze large datasets to extract insights and improve model performance
• Ensure compliance with data privacy and security regulations in all AI/ML initiatives

• Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field
• Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects
• Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)

• Health and financial benefits
• Commuter support
• Employee assistance programs
• Tuition assistance
• Employee resource groups
• Collaborative workspaces

Athenahealth is a leading provider of cloud-based services for healthcare systems, dedicated to transforming the way healthcare is delivered and managed. Founded in 1997, the company focuses on providing innovative solutions that enhance the efficiency and effectiveness of healthcare providers, enabling them to deliver better patient care.