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 ourvision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
What’s unique about our locations?
From an historic, 19thcentury arsenal to a converted, landmark power plant,allofathenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our10offices 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 andimplements products and services that support US healthcare: It’sour chance to create healthier futures for ourselves, for our family and friends, for everyone.
Our vibrant and talented employees — orathenistas, as we call ourselves — spark the innovation and passion needed to accomplishour 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 theirbestselves to work.
Our size makes a difference, too: We are small enoughthatyourindividual contributionswill stand out— butlarge enoughto grow your career with ourresources and established business stability.
Giving back is integral to our culture. OurathenaGivesplatform strives tosupport 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’sCorporate 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,athenistasenjoy perks specific to eachlocation, including commuter support, employee assistance programs, tuition assistance,employeeresource groups, and collaborative workspaces — some offices even welcome dogs.
In addition to our traditional benefits and perks, we sponsor events throughout the year, includingbook clubs, external speakers, and hackathons. And weprovideathenistaswithacompany culturebased onlearning,the support of anengaged team,andan inclusive environment where all employees are valued.
We alsoencourage a better work-life balance forathenistaswith our flexibility. Whilewe 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.
athenahealth is committed to a policy of equal employment opportunity—that’s why we recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. We’re happy to provide a reasonable accommodation, for those with a disability, to complete any part of the application process. If you are unable to access or use this online application process and need an alternative method for applying, please contact us at taoperations@athenahealth.com for assistance.
https://www.athenahealth.com/careers/equal-opportunity
