ML Engineer II

· Remote

Location

Remote

Type

Full Time

Job Description

ML Engineer II

Posted 6 Hours Ago
Be an Early Applicant
Louisville KY USA
In-Office
Mid level
Healthtech • Payments • Software
The Role
The Machine Learning Engineer will design and develop ML models manage data pipelines collaborate with teams and improve model performance in healthcare applications.
Summary Generated by Built In

ABOUT THIS POSITION

We are looking for an outstanding brilliant and driven Machine Learning Engineer to join our growing Advanced R & D team. In this mission critical role the Application Engineer will design build and implement amazing web applications and back-end services for our internal customers. They will also have the opportunity to work with cloud-based components and generative AI services on the Google platform.

WHAT YOU'LL DO

* Design develop and implement machine learning models and algorithms to solve complex business problems in the healthcare domain.
* Work with large and diverse datasets performing data cleaning feature engineering and data analysis to prepare data for model training.
* Build train and evaluate machine learning models using various frameworks and tools.
* Develop and maintain robust MLOps pipelines for model deployment monitoring and retraining.
* Collaborate closely with data scientists software engineers and product managers to understand requirements and integrate ML solutions into existing products and services.
* Conduct experiments and A/B tests to assess model performance and identify areas for improvement.
* Participate in code reviews contribute to architectural discussions and uphold best practices in software development and machine learning engineering.
* Document technical designs model specifications and operational procedures.
* Stay up-to-date with the latest advancements in machine learning artificial intelligence and related technologies.
 

WHAT YOU'LL NEED

* Bachelor's or Master's degree in Computer Science Machine Learning Data Science or a related quantitative field.
* 2-4 years of professional experience in machine learning engineering or a related role.
* Proficiency in Python and relevant machine learning libraries (e.g. scikit-learn TensorFlow PyTorch).
* Experience with data manipulation and analysis tools (e.g. Pandas SQL).
* Solid understanding of machine learning principles algorithms and statistical modeling techniques.
* Familiarity with cloud platforms (e.g. AWS Azure GCP) and MLOps tools/practices.
* Experience with version control systems (e.g. Git).
* Strong problem-solving skills and the ability to work independently and collaboratively within a team environment.
* Excellent communication and interpersonal skills.
* Prior experience in the healthcare industry or with healthcare data is a plus.

ABOUT WAYSTAR

Through a smart platform and better experience Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar’s healthcare payments platform combines innovative cloud-based technology robust data and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers 1K+ hospitals and health systems and is connected to over 5K commercial and Medicaid/Medicare payers.  We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work always; making it happen; and joyful optimistic & fun.

Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500000 providers 1000 health systems and hospitals and 5000 payers and health plans. For more information visit waystar.com or follow @Waystar on Twitter.  

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members starting with 3 weeks + 13 paid holidays including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate value and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race color religion age sex national origin disability status genetics marital status protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

Top Skills

AWS
Azure
GCP
Git
Pandas
Python
PyTorch
Scikit-Learn
SQL
TensorFlow
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The Company
HQ: Louisville KY
967 Employees
Year Founded: 2018

What We Do

Waystar provides market-leading technology that simplifies and unifies healthcare payments. Our cloud-based platform streamlines workflows and improves financials for healthcare providers of all kinds and brings more transparency to the patient financial experience. The Waystar platform is used by more than 450k providers 750 health systems and hospitals and 5k health plans—and integrates with all major HIS and practice management systems. The financial and administrative challenges facing healthcare providers are daunting. Waystar’s technology platform simplifies and unifies healthcare payments across the revenue cycle. We empower healthcare organizations to automate manual work gain insight into processes and performance and ultimately collect more revenue. At Waystar we know there’s a better more efficient way forward. Let’s climb the mountain ahead of us to reach new heights in healthcare.

Waystar Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
HQLouisville KY
Duluth GA
Lehi
Learn more

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Date Posted

04/22/2026

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