Nirvana
Join to apply for the
Machine Learning Engineer
role at
Nirvana
Location:
New York City (Hybrid - 3 days per week)
Reporting to:
CTO
Salary Range:
$160,000–$180,000
Overview 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.
What You’ll Do
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.
What We’re Looking For
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
Why Join Us
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
Job Details
Seniority level : Mid-Senior level
Employment type : Full-time
Industries : Hospitals and Health Care and Software Development
Referrals increase your chances of interviewing at Nirvana by 2x
IsExpired: false
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Machine Learning Engineer
role at
Nirvana
Location:
New York City (Hybrid - 3 days per week)
Reporting to:
CTO
Salary Range:
$160,000–$180,000
Overview 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.
What You’ll Do
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.
What We’re Looking For
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
Why Join Us
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
Job Details
Seniority level : Mid-Senior level
Employment type : Full-time
Industries : Hospitals and Health Care and Software Development
Referrals increase your chances of interviewing at Nirvana by 2x
IsExpired: false
#J-18808-Ljbffr