Platform Engineer Machine Learning; Utah

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 in developing and enhancing predictive models, and 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.

• Bachelor’s degree in Computer Science or a related field;
  
  Master’s degree preferred.
• 7+ years of professional experience writing Python or Java code, with at least 3years building data platforms.
• Expert proficiency with SQL and NLP.
• Seasoned practitioner of engineering best practices such as CI/CD and automated testing.
• Comfortable 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 (Postgre
  
  SQL 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.
• Team‑player DNA with a positive, self‑starter attitude.
• Attention to detail, highly organized, with an absolute focus on quality of work.

• Familiarity with Clear
  
  ML, Triton, PyTorch, and Tensor Flow.
• Familiarity with statistics and the healthcare domain.
• Proven expertise in successful large project/build management and execution.

• Competitive total rewards (base salary + bonus, if applicable).
• Customizable benefits package (three medical plans with Health Savings Account company match).
• Generous paid time off: 3weeks + 13 paid holidays for non‑exempt team members; flexible time off for exempt team members + 13 paid holidays.
• Paid parental leave (including maternity and paternity leave).
• Education assistance opportunities and free Linked In 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. 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.