Machine Learning Engineer

Join to apply for the Machine Learning Engineer role at Nirvana

This range is provided by Nirvana. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$160,000–$180,000

Location: Austin, TX or New York City (Hybrid - 3 days per week)

Reporting to: CTO

Salary Range: $160,000–$180,000

Work Authorization: At this time, we are unable to sponsor or assume sponsorship of employment visas.

About the Company

At Nirvana, we are revolutionizing the way benefit verification is handled. Recognizing its convoluted and opaque nature, we are dedicated to bringing transparency to the costs and coverage of healthcare. By leveraging machine learning and AI, we have developed tools that enable care providers across various specialties to seamlessly check coverage—from patient intake through continuous monitoring—saving significant time and resources.

Our mission extends beyond facilitating access to care; we aim to alleviate financial anxiety for those seeking medical assistance and the numerous providers who serve them. With support from esteemed investors such as Inspired Capital, Eniac Ventures, and Surface Ventures, Nirvana is on a rapid growth trajectory. Over the past year, we have served some of the largest clients in healthcare, including Lifestance Health, Modern Health, and Headspace.

Join us as we become the trust layer in healthcare, making it more transparent and accessible for everyone.

About the Role

Nirvana is looking for a Machine Learning Engineer who thrives at the intersection of building, deploying, and communicating ML solutions. You’ll create models that enhance the accuracy and usability of our products, while making their impact clear across the company.

You’ll work closely with engineers, product managers, and customer-facing teams—ensuring ML capabilities are understood, trusted, and aligned with business goals. This role is as much about storytelling and clarity as it is about algorithms and code. A background in building ML solutions for B2B SaaS products is a plus. You should have at least 3 years of experience in ML engineering, and familiarity with LLMs, data science, statistics, and MLOps in a production environment.

• 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.

• 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
• A collaborative mindset and ability to work across disciplines
• Bonus
  :
  Experience building ML solutions for B2B SaaS products

• Shape how ML is built and understood in a company solving a critical healthcare problem
• High-autonomy, mission-driven environment with visible impact
• Competitive salary & equity
• Unlimited PTO, hybrid dog-friendly office, stocked kitchen

Mid‑Senior level

Full‑time

Hospitals and Health Care and Software Development