Staff Engineer, Machine Learning

1 week ago

Atlanta, Georgia, United States Rialtic, Inc. Full time
Job Title: Staff Engineer, Machine Learning

We are seeking a highly skilled Staff Engineer to join our Engines & Data team at Rialtic, Inc. As a key member of our technical staff, you will play a critical role in building new engines and implementing new architectures for our cloud-native, distributed healthcare payment integrity solution.

About the Role

This position requires a customer-first, quality-oriented mindset. You will design, develop, test, maintain, and improve Python packages that implement healthcare policies and concepts. You will collaborate with cross-functional teams to identify and define data science and predictive analytics opportunities that align with our product roadmap.

Responsibilities
  • Design, develop, test, maintain, and improve Python packages that implement healthcare policies and concepts.
  • Collaborate with cross-functional teams to identify and define data science and predictive analytics opportunities that align with our product roadmap.
  • Select, develop, train, and deploy data science and predictive analytics models using Python, standard frameworks, and off-the-shelf tools that can integrate into our tech stack.
  • Serve as a technical lead by working with engineering team members on improvements to existing code, implementing new designs and architectures, mentoring other team members to help them grow in expertise and experience.
  • Influence the whole Engineering organization to adopt best practices in software development and testing, helping us all develop high-quality, scalable, testable, and maintainable code.
  • Collaborate with your engineering peers and build productive relationships with members of the Go-to-Market, Product Management, Clinical Content, and other teams that need our expertise to translate their requirements into coherent technical solutions.
  • Participate with internal and external stakeholders to understand the business logic and other requirements (such as refresh latency) for our Web-based payment integrity solution, client data warehouse exports, and one-time/ad-hoc analysis needs.
Requirements
  • 10+ years hands-on experience as a software developer in a professional environment and working with production systems.
  • 5+ years of experience working in Python and on Python applications (not Jupyter notebooks or similar), including Python dependency management, packaging, and publishing tools as well as Python libraries commonly used in data science and predictive analytics.
  • Relevant experience in data science and predictive analytics, including selecting, building, refining, and maintaining models.
  • Strong belief and demonstrated capabilities in leveraging the power of testing and test automation.
  • Experience as technical lead in bringing software projects to completion.
  • Experience with shell scripting, Git, and continuous integration workflows/pipelines.
  • Experience with SQL or similar query tools/languages.
  • Experience building and debugging data-rich applications.
  • Experience with AWS.
  • Strong listening and interpersonal skills. You consider yourself a lifelong learner and you are willing to read documentation, ask questions, explore, and iterate to improve.
What We Offer
  • Competitive Salary and Meaningful Equity.
  • Comprehensive Health Plans covering medical, dental, and vision needs.
  • Wellness Reimbursements for maintaining physical health.
  • Access to top-tier mental health services.
  • Flexible Vacation Policy with Unlimited PTO.

We value the health, happiness, and continuous growth of our employees. Our comprehensive benefits package is designed to provide dynamic support across various aspects of our employees' lives, ensuring they can thrive both professionally and personally.

How to Apply

If you're passionate about using your skills to make a tangible impact in healthcare technology, we'd love to hear from you. Embrace the opportunity to grow professionally and personally in a company that values your well-being and professional development. For more information or inquiries about our DEI practices, please contact us directly.

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