athenahealth

athenahealth

Senior AI/ML Engineer, epocrates

Austin, Texas, USA · Senior · Full-time

H1B sponsorship available$124k-$210kDetected 43 days ago
PythonAlgorithmsCode ReviewSQLAWSMachine LearningDeep LearningTensorFlowSparkData ScienceNLPLLMsMLOpsLangGraphAI OrchestrationStatisticsA/B TestingResearchCommunicationCollaboration

About the role

  • This person will report to the Senior Engineering Manager.
  • The team is focused on delivering practical, scalable, and trustworthy AI capabilities that improve how users access information, interact with product experiences, and benefit from new clinical and workflow enhancements.
  • This team is also responsible for helping establish the foundation for safe and effective AI use across epocrates, including standards for deployment, monitoring, and governance.

Responsibilities

  • Participate in end-to-end AI/ML projects, from research and design through deployment and ongoing maintenance, to deliver scalable production systems.
  • Implement ML pipelines and production-grade infrastructure that support high-volume workloads and reliable model execution.
  • Partner with cross-functional teams to integrate AI capabilities that align with business goals and customer needs.
  • Research and prototype new AI/ML algorithms and techniques to support innovation and product development.
  • Apply AI tools and techniques in day-to-day engineering work to improve productivity, support experimentation, and strengthen evaluation of model behavior, outputs, and system impact.
  • Advocate for responsible AI by considering fairness, transparency, data privacy, and appropriate use in model design and deployment.
  • Collaborate with engineering partners to move models from prototype to production using repeatable, maintainable approaches.
  • Document technical decisions, model behavior, and operational considerations to support shared understanding and long-term maintainability.
  • Support experimentation with emerging AI methods, including generative AI and agent-based patterns, where appropriate for the product use case.
  • Participate in code reviews, design reviews, and operational readiness activities.

Requirements

  • Proficiency in Python and working knowledge of a JVM language/service.
  • Proficiency in working with SQL and non-SQL data.
  • Experience with at least one major ML framework, such as TensorFlow or PyTorch.
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science/Engineering, or a related technical field.

Compensation

  • $124k-$210k

Benefits

  • Our company culture: Our talented employees - or athenistas, as we call ourselves - spark the innovation and passion needed to accomplish our vision.
  • We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count.
  • Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way.
  • 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.
  • 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
  • Foundational knowledge of classical AI/ML algorithms, deep learning, Natural Language Understanding and Processing, and Generative AI concepts.

Company info

  • 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.

Visa & Work Authorization

  • In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons
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This listing is sourced directly from athenahealth's careers page and normalized into a canonical job model.