Machine Learning Developer (Remote)

Machine Learning Engineer (Remote)

Our client is growing rapidly over the next 2 years and offers an opportunity to become an early-stage team member.  You will help drive the organization and influence the product, information architecture and user experience.  You will work on challenging high-impact problems in an agile fast-paced environment.  They are looking for a Machine Learning engineer to help solve the challenging problem of translating fragmented health information into valuable health and medical insights for customers.  As a Machine Learning Engineer, you will work within an integrated squad of Product Managers, Designers, and Developers to design, build and Implement Company solutions for the analysis and organization of a growing database of over a million health records, providing unprecedented opportunities to the Company’s driven health discovery.


  • A good team player who can work within an integrated team of product managers, designers, and developers
  • Expert critical thinking and problem-solving skills with a keen eye to apply machine learning solutions to solve interesting customer problems
  • Effectively translate requirements into feasible machine learning solutions
  • Develop, drive, and executive the long-term vision and strategy for current understanding and machine learning platforms
  • Ensure the development of consistent high quality data products
  • Standardize data quality measurements by establishing metrics, building tools and processes
  • Work with external vendors and aid build vs buy decisions
  • Work closely with data privacy and data security teams the organization to help guide data privacy policies and comply with data protection regulations
  • Research state-of-the-art methods in language modeling and related natural language, processing problems, data extraction, and other machine learning problems
  • Prototype novel methods and productionize promising methods
  • Build the Company’s machine learning pipeline


  • BS, MS or PhD in Computer Science or related field
  • 3+ years of professional or academic experience in machine learning
  • 5+ ears of experience building clean, maintainable, and well-tested code
  • You are adept at machine learning algorithms
  • Proven ability to apply, debug, and develop machine learning models for real-world applications (especially NLP)
  • Accomplished problem solver, able to think both creatively and methodically
  • Able and eager to learn about the latest technologies and ML best practices
  • Effective communicator who can translate complex technical concepts into simple ideas depending on the audience
  • Nice to have: hands-on experience on large scale machine learning systems (full ML stack from modelling to deployment at scale.)  Hands-on experience with big data technologies (e.g., Hadoop/Spark).  Hands-on experience with medical data

Please send resume to or call 519-858-8880.