Senior Software Engineer, AI/ML – epocrates

Reposted 10 Days Ago
Austin, TX
In-Office
124K-210K Annually
Senior level
Healthtech • Information Technology • Telehealth
Curing complexity to simplify the practice of care.
The Role
Design, develop and deploy AI/ML solutions; oversee end-to-end AI projects; implement ML pipelines; advocate for responsible AI practices.
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.

athenahealth epocratesTM is seeking a Senior 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 designing, 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.

Beyond AI model and pipeline work, you will serve as an advocate, and trusted partner within our subdivision: consulting with teams on their AI/ML approaches and evangelizing concepts across the organization in this dynamic field.

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

  • Partner with cross-functional teams to integrate AI capabilities aligned with business goals and customer needs

  • Research and prototype novel AI/ML algorithms and techniques to drive innovation.

  • Help establish best practices for AI/ML development, deployment, monitoring, and governance

  • 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.

  • 3+ years in technology or software development, with at least 1 year specializing 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).

  • Practical experience taking models from prototype to production; familiarity with AWS SageMaker is a plus.

  • Experience in MLOps and Machine Learning workflow orchestration.

  • Excellent communication and interpersonal skills.

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


Expected Compensation

$124,000 - $210,000

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

AI
AWS
Generative Ai
Machine Learning
Mlops
Natural Language Processing
Python
PyTorch
SQL
TensorFlow
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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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