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 · 3-5 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 United by our mission and driven by our entrepreneurial spirit, our work at athenahealth is collaborative, transformative, and above all, it’s meaningful. Our employees take pride in using technology and data-driven insights to inspire changes that will make the U.S. healthcare system better for everyone, including your friends, family and maybe even you. Notice to Job Seekers/Job Candidates: Recruitment Fraud Alert Please be aware of questionable job offers that are not affiliated with athenahealth. athenahealth has been made aware of unauthorized career opportunities offered by individuals posing as representatives of larger U.S. companies, including athenahealth. The fictitious jobs are advertised on employment-search websites, such as Indeed.com and Craigslist.com, and prospective employees are required to share their personal and financial information (e.g. credit card, bank information), provide copies of their government-issued identification, and/or send money for application fees, processing charges or work permits. The victims who are told they are "hired" are often instructed to deposit a check (which is later returned as fraudulent) into their own account and to forward overpayment to individuals - usually via wire transfer. Important information for job seekers: athenahealth has a formal application process and we do not request you to interview on a Google Hangout or via text messaging. athenahealth will never request money for the opportunity to apply or work for athenahealth. athenathealth does not require completion of tax forms, bank account or credit card information as part of the recruiting process. If you feel that you have been a victim of such a scam, please send an email to: askhr@athenahealth.com

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