Senior ML Engineer, Healthcare AI & Production

athenahealth, Inc.; Boston (MA); On-site; USD 145,000 - 247,000; Full time

Benefits offered by this job

Commuter support

Employee assistance programs

Tuition assistance

Employee resource groups

Dog-friendly offices

Flexible work model

Hackathons

Book clubs

Job summary

athenahealth is seeking a Senior Machine Learning Engineer in Boston to design, deploy, and optimize ML solutions for healthcare products and analytics. You will collaborate across teams in a hybrid work environment and contribute across the ML lifecycle from ideation to production.

You should have 4–6 years of hands-on ML experience, strong Python/SQL, and cloud skills (AWS/Kubernetes). Join a team embedding ML into athenahealth’s products to improve outcomes.

Qualifications

• Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Science, Statistics, or related field, or equivalent practical experience.
• 4 to 6 years of hands‑on experience developing, evaluating, and deploying ML models in production.
• Proficiency in Python, SQL, and Unix-based development environments.
• Experience building production‑grade ML services and workflows.
• Knowledge of ML fundamentals, statistics, model evaluation, and software engineering best practices.
• Familiarity with NLP, computer vision, or other applied ML techniques.
• Experience with AWS and Kubernetes/Kubeflow; experience training/fine‑tuning LLMs is helpful.

Responsibilities

• Identify opportunities to apply ML to healthcare problems and evaluate appropriate approaches.
• Design and develop ML models and production services for client‑facing and internal apps.
• Build scalable data pipelines, feature workflows, and training datasets.
• Deploy and maintain production ML services using cloud infrastructure and MLOps.
• Apply rigorous testing and validation to models, code, and workflows.
• Collaborate to define requirements and communicate findings across teams.
• Contribute to internal tools, reusable frameworks, and team standards.
• Monitor model/service performance and improve solutions over time.

Skills

Python

SQL

Unix

AWS

Kubernetes

Kubeflow

Elastic Kubernetes Service

Deep learning

LLMs

NLP

Computer vision

MLOps

Data pipelines

Education

Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Science, Statistics, or related field

Tools

Docker

Kubernetes

Kubeflow

Elastic Kubernetes Service

Job description

athenahealth is seeking a Senior Machine Learning Engineer in Boston to design, deploy, and optimize ML solutions for healthcare products and analytics. You will collaborate across teams in a hybrid work environment and contribute across the ML lifecycle from ideation to production.

You should have 4–6 years of hands-on ML experience, strong Python/SQL, and cloud skills (AWS/Kubernetes). Join a team embedding ML into athenahealth’s products to improve outcomes.