Job Description

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.

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 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

About 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.

Our company culture: Our talented   employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.

Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.

What we can do for you:

Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative   workspaces  — some offices even welcome dogs.

We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment,  full-time. With consistent communication and digital collaboration tools, athenahealth  enables  employees to find a balance that feels fulfilling and productive for each individual situation.

In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.

Learn more about our culture and benefits here: athenahealth.com/careers

https://www.athenahealth.com/careers/equal-opportunity