Machine Learning Engineer II

Summary

Join CodaMetrix, a revolutionary company in Revenue Cycle Management, and become a Machine Learning Engineer II. In this role, you will translate proof-of-concept ideas into production-ready solutions, collaborating with data scientists, product owners, and engineers. You will build and maintain ML infrastructure, process data, develop pipelines, and establish processes for transitioning from proof-of-concept to production. The position requires a Master's degree or a Bachelor's degree with 4+ years of experience and a minimum of two years of professional software development experience. You will work in a collaborative environment, promoting best practices and contributing to the development and deployment of new machine learning techniques. The position is located in Boston, MA, with a hybrid remote option.

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
• Candidates with a bachelor’s degree with 4 or more years professional software development experience will be considered
• 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 an understanding of the analysis and testing processes of machine learning algorithms
• Must have experience with cloud computing platforms
• Experience with SQL and NoSQL Databases
• Proficiency with Python
• Proficiency in working within a Linux ecosystem and extensive experience with Docker

Responsibilities

• 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 and follow deployments, tracking issues, and successes

Preferred Qualifications

• Experience working with healthcare data and knowledge of US healthcare systems
• Familiarity with deep learning approaches and Large Language Models
• Familiarity with big data and distributed computing approaches
• Publications or contributions to the machine learning community or open-source healthcare projects
• Experience working in a startup / fast paced environment
• Experience with natural language processing (NLP) is a plus
• Experience with AWS (S3, EC2, etc) is a plus
• Experience with SparkSQL is a plus
• Experience with Java and/or Scala is a plus
• 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, which is managed but not limited, so you can take the time you need to relax and rejuvenate
• Learning: All new hires complete our 7-week Onboarding Program where they learn about our company and each of our departments through live sessions hosted by a variety of our leaders
• Development: We provide annual performance evaluations and prioritize working with employees on what their individual growth looks like
• Recognition: We recognize the outstanding achievements of our team through annual company awards where employees have the opportunity to nominate their peers
• 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