Platform Engineer Machine Learning (Utah)

E-Solutions INC; Lehi (UT); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive total rewards (base salary

Customizable benefits package with 3+医

Paid time off: 3 weeks + holidays

Parental leave

Education assistance and LinkedIn学习

Mental health and fertility support

401(K) with company match

Pet insurance

Employee resource groups

Job summary

Waystar is seeking a Machine Learning Platform Engineer - Backend Services to build and manage the platform for training and applying predictive models. You will work on data-intensive systems, enabling scalable real-time predictions and robust NLP capabilities.

You will collaborate across teams to deliver high-quality software, adhere to CI/CD standards, and mentor junior engineers. The role emphasizes Linux proficiency, cloud experience (AWS/GCP), and a passion for cutting-edge AI technologies.

Qualifications

• Bachelor’s degree in Computer Science or related area; Masters preferred.
• 7+ years of professional experience writing Python or Java code, with at least 3 years building data platforms.
• Expert proficiency with SQL.
• NLP experience.
• CI/CD and automated testing practices.
• Comfort in Linux environments.
• Experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices architectures.
• Experience with public cloud solutions such as AWS or GCP.
• Proven track record of delivering complex technical projects.

Responsibilities

• Develop and enhance the machine learning platform to manage the full model life cycle.
• Build frameworks and tools to enable the data science team, supporting scalable real-time predictions in production.
• Design and implement data engineering solutions for model training.
• Expand NLP capabilities with advanced analysis techniques to improve text understanding.
• Design and implement high-performance, scalable services and applications.
• Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation.
• Adhere to development standards for consistency across teams.
• Perform in-depth technical and performance analyses to troubleshoot production issues.
• Monitor and maintain production systems for reliability and efficiency.

Skills

Python

Java

SQL

NLP

MLOps

Docker

Kubernetes

REST API

Microservices

Linux

CI/CD

Education

Bachelor’s degree in Computer Science or related area

Master’s degree preferred

Tools

PostgreSQL

Kafka

AWS

GCP

Job description

ABOUT THIS POSITION

We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

WHAT YOU'LL DO

Responsibilities:

• Develop and enhance the machine learning platform to manage the full model life cycle

• Build frameworks and tools to enable the data science team developing and enhancing predictive models, support scalable real-time predictions in production

• Design and implement data engineering solutions for model training

• Expand NLP capabilities with advanced analysis techniques to improve text understanding

• Design and implement high-performance, scalable services and applications

• Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation

• Understand and adhere to development standards for consistency across teams

• Perform in-depth technical and performance analyses to troubleshoot production issues

• Monitor and maintain production systems for reliability and efficiency

WHAT YOU'LL NEED

• Minimum Requirements (Education, certifications and experience):

• Bachelor’s degree in Computer Science or related area, Masters preferred

• 7+ years of professional experience writing Python or Java code, with at least 3 years building data platforms

• Expert proficiency with SQL

• NLP

• Seasoned practitioner of engineering best practices such as CI/CD and automated testing

• Comfort working in a Linux environment

• Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing

• Professional experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures

• Experience with public cloud solutions, such as AWS or GCP

• Proven track record of successful delivery of progressively complex technical projects

• Coaching and mentoring junior engineers in the team

• Team player DNA with a positive, self-starter attitude

• Attention to detail, highly organized, with an absolute focus on quality of work

Preferred Requirements:

• Familiarity with ClearML, Triton, PyTorch, and TensorFlow

• Familiarity with statistics and healthcare domain

• Proven expertise in successful large project/build management and execution

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 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (https://twitter.com/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.

Job Category: Technology/Engineering

Job Type: Req ID: R3038