Senior ML Engineer - Healthcare AI, Hybrid in Boston

Athenahealth; Boston (MA); On-site; USD 145,000 - 247,000; Full time

Benefits offered by this job

Annual discretionary bonus plan

Equity plans

Health and financial benefits

Commuter support

Tuition assistance

Job summary

Athenahealth in Boston, MA is seeking a Senior Machine Learning Engineer to design, develop, deploy, and optimize ML solutions for healthcare products and analytics initiatives.

You will collaborate across teams through the ML lifecycle, improve model performance, and build scalable data pipelines and production services using cloud infrastructure and MLOps practices. Strong communication is essential in this hybrid role.

Qualifications

• Bachelor’s or Master’s in Mathematics, CS, DS, or Statistics.
• 4–6 years of hands-on ML model development & deployment.
• Proficiency with Python, SQL and Unix environments.
• Experience with cloud platforms (AWS) and ML tooling.

Responsibilities

• Assess opportunities to apply ML to healthcare problems and select methods.
• Design, develop, and deploy ML models and production services.
• Build scalable data pipelines and training datasets.
• Deploy and maintain ML services using cloud infrastructure and MLOps.
• Monitor performance and improve models over time.
• Collaborate across teams to define requirements and communicate findings.

Skills

Strong communication

Problem solving

Education

Bachelor’s/Master’s in a quantitative field

Tools

Python

SQL

Unix

AWS

Kubernetes

Kubeflow

Elastic Kubernetes Service

Job description

Athenahealth in Boston, MA is seeking a Senior Machine Learning Engineer to design, develop, deploy, and optimize ML solutions for healthcare products and analytics initiatives.

You will collaborate across teams through the ML lifecycle, improve model performance, and build scalable data pipelines and production services using cloud infrastructure and MLOps practices. Strong communication is essential in this hybrid role.