Platform Engineer, Machine Learning

Job not on LinkedIn

🕒 June 30

⛷️ Utah – Remote

⛷️ Utah – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏗️ Platform Engineer

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Waystar

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 $709.2M Post-IPO Secondary - Waystar on 2025-09

Healthcare • SaaS • Artificial Intelligence

Waystar is an AI-powered healthcare revenue cycle software company that provides a unified, cloud-based platform to simplify healthcare payments and automate the end-to-end revenue cycle for healthcare providers. Its platform covers financial clearance (eligibility verification, patient estimation, prior authorizations), patient financial care, clinical integrity and revenue capture (charge and DRG anomaly detection), claim and payer payment management, denial recovery, and analytics and reporting, with integrations to EHRs and payer systems. Waystar serves hospitals, health systems, physician and specialty practices, ambulatory surgery centers, and other provider organizations, leveraging agentic, generative, and predictive AI to accelerate reimbursement, reduce denials, and improve financial visibility and patient payment experiences.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Competitive total rewards (base salary + bonus, if applicable) • Customizable benefits package (3 medical plans with Health Saving Account company match) • Generous paid time off for non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays • Flexible time off for 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