Machine Learning Infrastructure Engineer, Ambience Healthcare
$200-300k
+ Equity
3 days a week in office
AI operating system for healthcare
Be an early applicant
AI operating system for healthcare
101-200 employees
Be an early applicant
$200-300k
+ Equity
3 days a week in office
101-200 employees
Company mission
To supercharge clinicians with breakthrough generative AI technology.
Role
Who you are
- 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
What the job involves
- 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 — working onsite at our San Francisco office three days per week
- 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
Our take
Healthcare providers often find themselves overwhelmed by administrative duties like form filing and record coding, detracting from their primary focus on patient care. While these tasks are essential for billing and compliance, they are time-consuming and prone to errors.
In response to this challenge, Ambience Healthcare offers an AI-powered "operating system" designed specifically for healthcare organizations. Its suite of tools automates documentation, coding, and referrals, streamlining workflows for clinicians while enhancing accuracy.
With substantial funding, the company is expanding its business in the US and hopes top potentially include diagnosis in the future. While facing competition from startups like Corti and Babla, Ambience is well-positioned with strong investor backing and a clear focus.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Feb 2024
$70m
SERIES B
Apr 2022
$30m
SERIES A
Total funding: $100m
Company HQ
SoMa, San Francisco, CA
Leadership
Nikhil Buduma
(Co-Founder & Chief Scientist)Previously co-founded Lean On Me Peer Support where they served as a Board Member for over 8 years and Remedy Health where they served as the Chief Scientist for almost 4 years.
Michael Ng
(Co-Founder & CEO)Former Co-Founder and COO of Remedy Health. Was a Product Management MBA Intern at Sumo Logic, and Private Equity Associate at Calera Capital.
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