Senior Machine Learning Engineer, athenaIntelligence R&D

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 Senior 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. 

About you: 

You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. 

About the team: 

The data science team is bringing machine learning to bear against the hardest problems in healthcare. We are working with product and engineering leaders across the company to build machine learning into our Best In KLAS suite of products. We work hand-in-hand with platform engineers to deploy state-of-the-art machine learning models using cloud technologies.  

Job Responsibilities 

As a member of the Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following:  

• 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 

Typical Qualifications: 

• Bachelors in relevant field: math, computer science, data science, economics. 

• 3-5 years of professional experience developing and evaluating machine learning models 

• Proficient in Python. 

• Experience using machine learning models and libraries, familiarity with NN frameworks a bonus. 

• Experience with GenAI is a bonus, but not required. 

• 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 

About athenahealth

Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.  

What’s unique about our locations? 
From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India — plus numerous remote employees —