Staff ML Engineer, Ambience Healthcare
AI Platform
$250-300k
+ Equity
3 days a week in office
AI operating system for healthcare
Open for applications
AI operating system for healthcare
101-200 employees
Open for applications
$250-300k
+ Equity
3 days a week in office
101-200 employees
Company mission
To supercharge clinicians with breakthrough generative AI technology.
Role
Who you are
- 7+ years in software engineering, 3+ focused on ML infrastructure, platform engineering, or data systems
- Staff-level scope: owned cross-cutting infrastructure, influenced technical direction across multiple teams
- Strong backend fundamentals in Python, TypeScript, or similar
- Built eval systems, data pipelines, or ML observability infrastructure
- Comfortable on both the ML and Eng sides of MLOps
- Track record of platform work that measurably accelerated other teams
- In SF, 3x/week in-person
What the job involves
- Ambience ships clinical AI to millions of patient encounters across the nation's largest health systems. How fast we improve that AI depends on the platform you'll own
- You'll build evaluation and release gates that let teams ship confidently. Observability that surfaces quality issues before clinicians do. Debug tooling that makes reproducing regressions fast
- The chart context retrieval layer that assembles patient history into model-ready inputs
- The goal: teams iterate on quality in days, not weeks. Every improvement you make compounds across every product team, every quarter
- Eval & Release Infrastructure — Automated graders and release gates that work across product pods. Unified eval dataset versioning and execution to replace fragmented workflows. Production quality monitoring with end-to-end tracing, shared metrics, and automated alerting
- Debug Tooling — Encounter replay that reconstructs exact inference inputs (retrieved chart context, packed prompts, model versions) so teams reproduce issues without digging through logs. Diff views comparing known-good runs to regressions
- Chart Context & Data Pipelines — The retrieval layer that pulls relevant patient history and assembles it into consistent model-ready inputs
- Feedback loops that capture real-world usage and convert it into training signal. End-to-end latency instrumentation across every workflow step
- Preference Infrastructure — The system that enables clinician and site-specific behavior across specialties. Different clinics want different defaults, different phrasing, different workflows. You'll build the platform that supports customization at scale
- Model Serving — Performance and reliability layer for critical in-house models with clear SLOs, capacity planning, and regression alerts
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 (last 2 of 3 rounds)
Jul 2025
$243m
SERIES C
Feb 2024
$70m
SERIES B
Total funding: $343m
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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