Nirvana is looking to solve the convoluted and opaque nature of benefit verification in healthcare by leveraging machine learning and AI to bring transparency to the costs and coverage of healthcare.
Requirements
- 3+ years of experience building and deploying ML models in production
- Strong Python skills and familiarity with common ML frameworks and libraries
- Experience with LLMs, data science, statistics, and MLOps
- Comfort working with varied, imperfect, and semi-structured data
- Strong communication skills—able to bridge technical depth with business clarity
Responsibilities
- Build & Improve Models – Develop and iterate on ML models that improve data accuracy, automate decision-making, and unlock new capabilities.
- Integrate Into Products – Collaborate with engineering to embed models into workflows and deliver value at the right points.
- Communicate ML Impact – Translate technical results into clear, compelling updates for non-technical stakeholders, including leadership and customer teams.
- Foster Understanding – Create documentation, demos, and internal presentations that make ML features easy to grasp and advocate for across the company.
- Continuous Learning – Stay up to date with new techniques and tools, bringing fresh ideas into Nirvana’s ML/AI approach.
Other
- At least 3 years of experience in ML engineering
- A collaborative mindset and ability to work across disciplines
- Ability to work in a hybrid environment (3 days per week in office)
- Unlimited PTO, hybrid dog-friendly office, stocked kitchen
- Medical, dental, vision, 401K
