ABOUT THIS POSITION
We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supports the 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 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.
Skills Required
- Bachelor's degree in Computer Science or related area
- Master's degree
- 7+ years professional experience writing Python or Java code
- At least 3 years building data platforms
- Expert proficiency with SQL
- NLP experience
- Experience with CI/CD and automated testing
- Comfort working in a Linux environment
- Professional experience with MLOps
- Docker
- Kubernetes
- Relational databases (PostgreSQL preferred)
- Kafka
- REST API design
- Microservices application architectures
- Experience with public cloud solutions such as AWS or GCP
- Proven track record delivering progressively complex technical projects
- Coaching and mentoring junior engineers
- Familiarity with ClearML
- Familiarity with Triton
- Familiarity with PyTorch
- Familiarity with TensorFlow
- Familiarity with statistics and healthcare domain
- Proven expertise in large project/build management and execution
Waystar Compensation & Benefits Highlights
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Leave & Time Off Breadth — Time off is described as generous, including PTO, numerous paid holidays, and flexible time off options that support work–life balance. Policies such as volunteer time off and flexible/unlimited PTO for some roles further expand usable leave.
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Healthcare Strength — Benefits include multiple medical plan choices with HSA company matching and access to mental‑health resources. Additional wellness perks and coverage options contribute to a comprehensive healthcare offering.
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Parental & Family Support — Paid parental leave and family‑planning benefits, including adoption and fertility support, are included. These elements are positioned as supportive of different life stages.
Waystar Insights
What We Do
Waystar harnesses the power of agentic AI, generative AI, and advanced automation to drive meaningful outcomes so providers reach peak financial performance and patients receive care with confidence. The Waystar platform is used by more than 1 million providers and supports over 60% of the U.S. patient population - 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.
Why Work With Us
Our Waystar values serve as a compass to center our decisions, inspire action, and promote outstanding performance. We are dedicated to providing a diverse, inclusive workplace and fostering a shared sense of belonging.
Waystar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
