Senior Member of Technical Staff - Machine Learning & AI

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. We are looking for a Machine Learning Engineer to join the Data Science team with the Analytics and AI division. You will work with the team to develop and deploy machine learning models across a variety of healthcare products and domains.

• Identify opportunities for different machine learning techniques and evaluate which are best
• Assist in developing and deploying ML-based production services to our clients
• Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so
• Apply rigorous testing of statistics, models, and code
• Contribute to the development of internal tools and data science team standards

• Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field
• 5-8 years of professional hands-on experience in developing, evaluating & deploying machine learning models
• Experience with Python, SQL , Unix
• Experience with development and implementation of Deep Learning Models with complex neural network architectures is a bonus
• Experience with training & fine tuning LLMs & GenAI models is a bonus
• Familiarity with NLP or computer vision techniques
• Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience
• Excellent verbal communication and writing skills

• 401k matching
• Health insurance
• Commuter support
• Employee assistance programs
• Tuition assistance
• Employee resource groups
• Collaborative workspaces

athenahealth: Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.