Posted:
12/17/2025, 12:32:27 AM
Location(s):
Texas, United States ⋅ Austin, Texas, United States
Experience Level(s):
Junior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
AthenaHealth epocratesTM is seeking an AI/ML Engineer to design, develop, and deploy advanced AI and ML solutions that enable our platform and mobile apps to transform the connection between pharmaceutical brands and 1million+ healthcare professionals during moment of care.
As a multi-hat contributor, you bring a blend of Data Science, AI-Development Life Cycle engineering, and software engineering. Your primary responsibility will be implementing, deploying, and maintaining Machine Learning solutions for a mix of features across multiple product areas. Experience building, deploying, and maintaining ML systems is required for classical AI models (examples: classifications, tagging, segmentation). Familiarity with Generative AI, Agentic AI, and the tooling to deploy these solutions in production software is highly desirable.
The Team
You will be part of the AI Capabilities engineering team. This team is entrusted with pushing the boundaries and building innovative AI / Machine Learning solutions in a growing and ever evolving space. This team also lays the foundation with the safety, privacy and performance guardrails and comes up with guidance for other teams to adopt the framework to build their own AI-enabled features.
Key responsibilities
Participate in development of end-to-end AI/ML projects—from research and design to deployment and ongoing maintenance—ensuring scalable, production-ready systems
Help implement robust ML pipelines and production-grade infrastructure to support high-volume workloads
Help prototype AI/ML algorithms and techniques to drive innovation.
Monitor model performance, scalability, and cost in production, and drive continuous optimization
Advocate for responsible AI—focusing on fairness, transparency, and data privacy
Desired qualifications
Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science/Engineering, or a related technical field.
1+ years in technology or software development, with experience in ML/AI and Data Science roles.
Technical comprehension of Classical AI/ML algorithms, deep learning, Natural Language Understanding and Processing, Generative AI such as GPT and BERT, Large Language Model, LangChain and LangGraph.
Proven track record developing and deploying scalable AI/ML systems and pipelines in production using AWS.
Proficiency in Python and a working knowledge of JVM language/services.
Proficiency in working with SQL and non-SQL data.
Experience with at least one major ML framework (e.g., TensorFlow, PyTorch) is preferred.
Some experience taking models from prototype to production
Familiarity with AWS SageMaker is a plus.
Familiarity in MLOps and Machine Learning workflow orchestration is a plus.
Excellent communication and interpersonal skills.
Expected Compensation
$102,000 - $174,000The 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, 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
Website: https://www.athenahealth.com/
Headquarter Location: Watertown, Massachusetts, United States
Employee Count: 5001-10000
Year Founded: 1997
IPO Status: Delisted
Last Funding Type: Post-IPO Equity
Industries: Enterprise Software ⋅ Health Care ⋅ Information Technology ⋅ Medical