Athenahealth - Boston, MA

posted 24 days ago

Full-time - Senior
Remote - Boston, MA
Professional, Scientific, and Technical Services

About the position

The Senior Machine Learning Engineer will join the Data Science team within the Analytics and AI division at athenahealth. This role focuses on developing and deploying machine learning models across various healthcare products and domains, contributing to the mission of creating accessible, high-quality, and sustainable healthcare for all. The ideal candidate is passionate about machine learning, enjoys tackling challenges, and possesses strong communication skills to collaborate with diverse teams.

Responsibilities

  • Identify opportunities for different machine learning techniques and evaluate which are best.
  • Assist in developing and deploying ML-based production services to clients.
  • Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; hold team members accountable for doing so.
  • Apply rigorous testing of statistics, models, and code.
  • Contribute to the development of internal tools and data science team standards.

Requirements

  • Bachelor's degree in a relevant field such as math, computer science, data science, or economics.
  • 3-5 years of professional experience developing and evaluating machine learning models.
  • Proficient in Python.
  • Experience using machine learning models and libraries; familiarity with neural network frameworks is a bonus.
  • Familiarity with NLP or computer vision techniques.
  • Experience using the AWS ecosystem is a bonus, including Kubernetes, Kubeflow, or EKS experience.
  • Excellent verbal communication and writing skills.

Nice-to-haves

  • Experience with Generative AI is a bonus, but not required.

Benefits

  • Health and financial benefits
  • Commuter support
  • Employee assistance programs
  • Tuition assistance
  • Employee resource groups
  • Collaborative workspaces
  • Events throughout the year including book clubs, external speakers, and hackathons
  • Flexible work-life balance options
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