About Medallion:

Healthcare is going through an unprecedented transformation towards digital care. Medallion provides the critical administrative infrastructure to make that change possible. Our platform enables organizations to license their providers in new states, verify existing credentials, and get in-network with health plans. In just over three years, our platform has become an industry standard powering hundreds of healthcare companies to reduce administrative burden for tens of thousands of providers across the country. To date, Medallion has saved over 500,000 administrative hours for our customers!

Founded in 2020, Medallion has raised $85M from world-class investors like Sequoia Capital, Google Ventures, Spark Capital, Optum Ventures, and Salesforce Ventures.

About the Role:

As a member of our Machine Learning team at Medallion, you'll be responsible for developing and deploying state-of-the-art machine learning algorithms. You will own product development built on data analysis, modeling, and the associated technical infrastructure and workflows. Expect to achieve massive personal growth and ship features that make a meaningful impact on the healthcare system. All on a supportive and experienced team of engineers, PMs, and designers.

This role reports to one of our Engineering Managers and base compensation may land between $135,000-$175,000 depending on qualifications and experience. In addition to base salary, Medallion offers equity and benefits as part of the total compensation package. Many factors are considered when determining pay including: market data, geographic location, skills, qualifications, experience, and level.

Responsibilities:

Design, develop, and implement machine learning algorithms to solve complex problems
Implement models using industry standard AI frameworks/platforms
Validate and fine-tune third party models such as OpenAI, Amazon Textract
Gather, clean, and prepare large datasets for machine-learning models
Build and maintain machine learning pipelines that are robust, scalable, and efficient
Collaborate with cross-functional teams to integrate machine learning solutions into production systems
Monitor and evaluate the performance of machine learning models and make continuous improvements
Work on meaningful projects with business impact from your very first day.
Gain expertise across the stack ?" full-stack web, platforms and services, cloud infrastructure.
Work closely with senior engineers on technical architecture and project planning.
Write a lot of code :)

Skills and Requirements:

2+ years of professional experience in software development, including 1 year or more in a ML role.
Strong understanding of machine learning algorithms and techniques, including supervised learning, unsupervised learning, and reinforcement learning
Experience with Python and popular machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
Excellent problem-solving and analytical skills
Have a strong technical foundation (CS and/or software engineering)
Are a fast and motivated learner
Are an excellent communicator ?" both verbally and in writing

You might also have:

A project you love talking about
An interest in starting your own company
A Ph.D. in a quantitative field

#LI-Remote

Summary
Company name: Medallion
Remote job title: ML Engineer
Job tags: Unsupervised Learning Techniques, Supervised Learning Techniques, reinforcement learning