What are the responsibilities and job description for the Machine Learning Infrastructure Engineer position at Ambience Healthcare?
About Us
Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflow, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience’s platform is live across outpatient, emergency, and inpatient settings, supporting more than 100 specialties with real-time, coding-aware documentation. The platform integrates directly with Epic, Oracle Cerner, athenahealth, and other major EHRs. Founded in 2020 by Mike Ng and Nikhil Buduma, Ambience is headquartered in San Francisco and backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, Kleiner Perkins, and other leading investors.
Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators.
The Role
We’re looking for a Machine Learning Infrastructure Engineer to join our AI Platform team. This is a high-leverage role focused on building and scaling the core infrastructure that powers every AI system at Ambience. You’ll work closely with our ML, data, and product teams to develop the foundational tools, systems, and workflows that support rapid iteration, robust evaluation, and production reliability for our LLM-based products.
Our Engineering roles are hybrid in our SF office 3x/wk.
What You’ll Do
We offer a base compensation range of approximately $200,000-300,000 per year, exclusive of equity. This intentionally broad range provides flexibility for candidates to tailor their cash and equity mix based on individual preferences. Our compensation philosophy prioritizes meaningful equity grants, enabling team members to share directly in the impact they help create.
Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate.
Being At Ambience
Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflow, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience’s platform is live across outpatient, emergency, and inpatient settings, supporting more than 100 specialties with real-time, coding-aware documentation. The platform integrates directly with Epic, Oracle Cerner, athenahealth, and other major EHRs. Founded in 2020 by Mike Ng and Nikhil Buduma, Ambience is headquartered in San Francisco and backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, Kleiner Perkins, and other leading investors.
Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators.
The Role
We’re looking for a Machine Learning Infrastructure Engineer to join our AI Platform team. This is a high-leverage role focused on building and scaling the core infrastructure that powers every AI system at Ambience. You’ll work closely with our ML, data, and product teams to develop the foundational tools, systems, and workflows that support rapid iteration, robust evaluation, and production reliability for our LLM-based products.
Our Engineering roles are hybrid in our SF office 3x/wk.
What You’ll Do
- You have 5 years of experience as a software engineer, infrastructure engineer, or ML platform engineer
- You’ve worked directly on systems that support ML research or production workloads – whether training pipelines, evaluation systems, or deployment frameworks
- You write high-quality code (we primarily use Python) and have strong engineering and systems design instincts
- You’re excited to work closely with ML researchers and product engineers to unblock them with better infrastructure
- You’re pragmatic and care deeply about making tools that are reliable, scalable, and easy to use
- You thrive in fast-paced, collaborative environments and are eager to take ownership of ambiguous problems
- Design, build, and maintain the infrastructure powering ML model training, batch inference, and evaluation workflows
- Improve internal tools and developer experience for ML experimentation and observability
- Partner with ML engineers to optimize model deployment and monitoring across clinical workloads
- Define standards for model versioning, performance tracking, and rollout processes
- Collaborate across the engineering team to build reusable abstractions that accelerate AI product development
- Drive performance, cost efficiency, and reliability improvements across our AI infrastructure stack
We offer a base compensation range of approximately $200,000-300,000 per year, exclusive of equity. This intentionally broad range provides flexibility for candidates to tailor their cash and equity mix based on individual preferences. Our compensation philosophy prioritizes meaningful equity grants, enabling team members to share directly in the impact they help create.
Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate.
Being At Ambience
- An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients
- Dedicated budget for personal development, including access to world class mentors, advisors, and an in-house executive coach
- Work alongside a world-class, diverse team that is deeply mission aligned
- Ownership over your success and the ability to significantly impact the growth of our company
- Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan
Salary : $200,000 - $300,000