Note: The job is a remote job and is open to candidates in USA. Waystar is a company that helps providers simplify healthcare payments and improve financials through innovative technology. They are seeking a Machine Learning Platform Engineer to develop and enhance their machine learning platform, manage model life cycles, and implement data engineering solutions.
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
Skills
- 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
- Familiarity with ClearML, Triton, PyTorch, and TensorFlow
- Familiarity with statistics and healthcare domain
- Proven expertise in successful large project/build management and execution
Benefits
- 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
Company Overview
Company H1B Sponsorship