Machine Learning Engineer II - Remote

Overview

CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix's autonomous coding supports improved patient care and drives efficiency under fee-for-service and value-based care models.

In Short

• Participate in all team activities, including agile ceremonies and reviews of other engineers designs and code.
• Build and maintain the ML infrastructure used by the ML Team and used in production.
• Process, transform, and enrich incoming data in order to be compatible with our ML infrastructure and for use by the ML Team.
• Develop pipelines and build customer models in support of production.
• Establish processes for managing the transitions from proof-of-concept to production.
• Promote best practice software development principles.
• Collaborate with machine learning, engineering, product development, professional services, DevOps, Data Intelligence, and coding quality assessment teams, for development & deployment of new machine learning techniques.

Requirements

• Master's degree in software engineering, computer science or a related technical field with significant course or project work in machine learning, artificial intelligence, or data science.
• Minimum of two years experience in professional software development.
• Fluent with software development best practices, including version control, documentation, testing and CI/CD (Jenkins, Github Actions, Terraform).
• Extensive experience with machine learning approaches and understanding of the analysis and testing processes of machine learning algorithms.
• Must have experience with cloud computing platforms. Experience with AWS (S3, EC2, etc) is a plus.
• Experience with SQL and NoSQL Databases.
• Proficiency with Python. Experience with Java and/or Scala is a plus.
• Proficiency in working within a Linux ecosystem and extensive experience with Docker.
• Experience with Spark, particularly Databricks, is a plus.

Benefits

• Health Insurance: We cover 80% of the cost of medical and dental insurance and offer vision insurance.
• Retirement: We offer a 401(k) plan that eligible employees can contribute to one month after their first day.
• Flexibility: We have a generous Paid Time Off policy.
• Learning: All new hires complete our 7-week Onboarding Program.
• Development: We provide annual performance evaluations.
• Recognition: We recognize the outstanding achievements of our team.
• Office Location: A modern open plan workspace located in the bustling Back Bay neighborhood of Boston.
• Additional Employer Paid Benefits: We offer employer-paid life insurance and short-term and long-term disability insurance.