Senior Machine Learning Engineer – Clinical Foundations

Reposted 4 Days Ago
Boston, MA
In-Office
145K-247K Annually
Senior level
Healthtech • Information Technology • Telehealth
Curing complexity to simplify the practice of care.
The Role
As a Senior Machine Learning Engineer, you will develop and deploy ML models, advocate for responsible AI, mentor colleagues, and integrate solutions into clinical workflows.
Summary Generated by Built In

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 Clinical Foundations data science zone. The zone through collaboration and innovation, identifies, develops accelerate the integration of machine learning technics in Clinicals R&D - our clinicians and patients experience with athenaOne. This role focuses on developing customized models and innovative solutions which can integrate into various workflows, ensuring high reliability, security and scalability by following best practices.

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 athenaClinicals product is a vital component of the athenaOne platform, enabling best experience for our clients and users. The Data Science team is bringing machine learning to bear in automating existing workflows and create more efficient ones. We are working with other engineering leaders in athenaClinicals 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 member of the athenaClinicals 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 AI team standards

  • Advocate for responsible AI—focusing on fairness, transparency, and data privacy

  • Actively participate in technical design discussions and propose innovative solutions to complex challenges

  • Provide timely and constructive code reviews

  • Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation

Typical Qualifications:

  • Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field

  • 4-6 years of professional hands-on experience in developing evaluating & deploying machine learning models

  • Strong software engineering foundations, with expertise in Python and experience developing production-quality systems using best practices in testing, modularity, and documentation

  • Provide technical & thought leadership, designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions

  • 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

  • Familiarity with large-scale data processing frameworks and ETL pipelines (e.g., Spark)

  • Excellent verbal communication and writing skills

  • Passion for staying current with AI research and applying novel techniques responsibly in production

  • Understanding of ethics, fairness, and compliance implications of Ai


Expected Compensation

$145,000 - $247,000

The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates.  Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.


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, athenahealthenablesemployees 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

Top Skills

AWS
Eks
Kubeflow
Kubernetes
Machine Learning
Python
Spark
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The Company
HQ: Boston, MA
7,200 Employees
Year Founded: 1997

What We Do

athenahealth strives to cure complexity and simplify the practice of healthcare. Our innovative technology includes electronic health records, revenue cycle management, and patient engagement solutions that help healthcare providers, administrators, and practices eliminate friction for patients while getting paid efficiently. athenahealth partners with practices with purpose-built software backed by expertise to produce the insights needed to drive better clinical and financial outcomes. We’re inspired by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. 

For more information, please visit www.athenahealth.com

Why Work With Us

We are here to make an impact on the healthcare industry at scale. We enable our diverse teams to move fast, grapple with interesting technical challenges, and innovate at every level. We are on a modernization journey and build on the hybrid cloud. We deliver best-in-class solutions to help every patient receive the best possible care.

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