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.

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

· 4-7 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

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 — all work to modernize the healthcare experience, together. 
 
Our company culture might be our best feature. 
We don't take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone.  

Our vibrant and talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work. 

Our size makes a difference, too: We are small enough that your individual contributions will stand out — but large enough to grow your career with our resources and established business stability. 
 
Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement.   

What can we 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.  

In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And 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.  

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.