Lead Software Engineer - Machine Learning

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Lead Software Engineer - Machine Learning We are looking for a Lead Machine Learning Engineer to join RCM (Revenue Cycle Management) products managing claims, billing and payment processes for healthcare practices. You will work with the team to develop and deploy machine learning models to automate and optimize RCM processes. This role focuses on end-to-end development and deployment of customized machine learning models across a variety of RCM workflows, develop roadmaps for development and implementation of ML initiatives, best practices and work collaboratively to influence product and engineering leaders. About you: You love to own important work and find it difficult to turn down a good challenge. You have a strong track record of development and evaluation of ML models, and leading projects or teams in development of ML models. You excel at building relationships and influencing at senior leadership levels and possess an eagerness to learn and disseminate new knowledge. You have strong communication skills and enjoy working with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The athenaCollector product is a vital component of the athenaOne platform, processing billions in client revenue annually. The Data Science team is bringing machine learning to bear against the hardest problem in revenue cycle management in healthcare. We are working with other engineering leaders in athenaCollector product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a leader of the athenaCollector Data Science team, you are expected to Stay abreast and evaluate the latest in ML technologies and determine how to incorporate these into our ML/AI best practices Integrate with and broadly support the AI/DS team in executing developed roadmaps; identify and document project dependencies; coordinate efforts across the team to ensure completion and effectiveness Contribute to the training and development of junior staff members Develop and follow conventions and best practices for modeling, coding, architecture, and statistics; hold other team members accountable for doing so Contribute to the development of internal tools and AI/ML standards Work collaboratively across the Infrastructure, UX, and Product organizations to ensure alignment towards business goals Typical Qualifications: Advanced degree (PHD, MS) in relevant field. For example, but not limited to: math, computer science, computer science, data science 5+ years of professional experience designing, building, training, deploying and evaluating machine learning models in production software environments at scale 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. Experience collaborating with cross functional teams or leading cross functional efforts Proficiency with python strongly preferred Have strong NLP skills or computer vision experience, AWS experience strongly preferred 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