athenahealth
Senior AI/ML Engineer, epocrates
Austin, Texas, USA · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$19,395 more — $143,395 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $143,395 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Austin-Round Rock-San Marcos, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 96%
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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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.
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
- Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
- The work combines data science, machine learning engineering, and software engineering, with responsibility for building production-ready systems that can scale reliably and operate with clear guardrails.
Company info
- 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
This listing is sourced directly from athenahealth's careers page and normalized into a canonical job model.