Full-Time

Senior Machine Learning Engineer

Athenaintelligence R&D

Posted on 9/24/2024

Athena Health

Athena Health

5,001-10,000 employees

Cloud-based healthcare management solutions provider

Social Impact
Healthcare

Mid, Senior

Boston, MA, USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
Computer Vision
AI & Machine Learning
Required Skills
Kubernetes
Python
Data Science
AWS
Natural Language Processing (NLP)
Computer Vision
Requirements
  • Bachelors in relevant field: math, computer science, data science, 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 NN frameworks a bonus.
  • Familiarity with NLP or computer vision techniques.
  • Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience.
  • Excellent verbal communication and writing skills.
Responsibilities
  • Identify opportunities for different machine learning techniques and evaluate which are best.
  • Assist in developing and deploying ML-based production services to our clients.
  • Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other 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.

Athenahealth provides cloud-based services aimed at improving the efficiency and effectiveness of healthcare providers. Their offerings include electronic health records (EHR) systems that help clinicians manage patient information, revenue cycle management (RCM) software that streamlines billing and collections, and patient engagement tools that enhance communication between providers and patients. This integrated approach allows healthcare providers to improve clinical outcomes, enhance patient experiences, and optimize financial performance. Unlike many competitors, Athenahealth operates on a subscription model, charging healthcare providers for access to their technology solutions while also offering support services to maximize the benefits of these tools. Additionally, through their philanthropic initiative, athenaGives, they provide free EHR technology to free and charitable clinics, aiming to improve healthcare access for underserved communities.

Company Stage

IPO

Total Funding

$38.9M

Headquarters

Watertown, Massachusetts

Founded

1997

Growth & Insights
Headcount

6 month growth

25%

1 year growth

25%

2 year growth

25%
Simplify Jobs

Simplify's Take

What believers are saying

  • AI-powered Ambient Notes reduce clinical documentation burden, enhancing efficiency and user experience.
  • AthenaOne for Behavioral Health addresses rising demand and integrates essential care features.
  • Marketplace expansion with partners like Nabla and HealthArc enhances clinical documentation and remote care.

What critics are saying

  • Increased competition from AI-driven EHR solutions like Suki may draw customers away.
  • Integration of remote care platforms could raise data privacy concerns.
  • Specialized solutions may not meet diverse needs, leading to potential user dissatisfaction.

What makes Athena Health unique

  • Athenahealth offers a comprehensive, cloud-based solution integrating EHR, RCM, and patient engagement.
  • The company provides specialized solutions like athenaOne for Orthopedics and Behavioral Health.
  • Athenahealth's Marketplace program enhances interoperability with third-party applications.

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