Staff ML Engineer, AI Platform

San Francisco, United StatesHybrid

Requirements

We’re building the AI intelligence platform that restores humanity to healthcare and drives meaningful ROI for health systems across the country.
Experience in the KLAS Research Emerging Solutions Top 20 Report, recognized by Fast Company as one of the Next Big Things in Tech, named one of the best AI companies in healthcare by Inc., and selected as a LinkedIn Top Startup in 2024 and 2025.
The Role: 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.
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
This could be the right place for you if you want to - Work on mission-critical AI technology that directly improves clinicians’ day-to-day lives and health system financial health across some of the most complex, high-stakes workflows in the world. - Join a “dream team” culture where we hire exceptional people, expect exceptional outcomes and invest deeply in feedback and continuous growth.

Pay Transparency We offer a base compensation range of approximately $250,000-300,000 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.
benefits include - Comprehensive medical, dental, and vision coverage for you and your dependents - 401(k) with a company match of up to 3% of base salary - A remote-friendly culture (with a San Francisco HQ) and full equipment provisioning to ensure you can work effectively from wherever you’re based.
- Parental leave to support your family needs - Annual company-wide off-sites, team off-sites and regular team lunches and all-hands gatherings, with travel, lodging and meals covered - Flexible time off with no annual cap, company-wide holidays and an annual holiday shutdown from December 24–January 1 designed to support real rest and long-term sustainability.
Ambience Healthcare is an equal opportunity employer and is committed to building a diverse and inclusive workplace.

If you need any accommodations during your application or interviews, please reach out to our Recruiting team at accommodations@ambiencehealthcare.com recruiting@ambiencehealth.com.
Our emails will always come from @ambiencehealthcare.com.
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About Us: Here at Ambience, we never set out to be just another scribe.
Our technology helps providers focus on delivering great care by removing the administrative burden that pulls them away from patients and away from their most impactful work.
Ambience delivers real-time coding-aware documentation and clinical workflow support across ambulatory, emergency and inpatient settings at the top health systems in North America.
Our teams operate relentlessly with extreme ownership to build the best solutions for our health system partners.
We value candor, positivity and deep thought — and we expect a lot from each other because we know the problems we’re solving truly matter.
Ambience was ranked #1 for Improving the Clinician
We’re backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and we’re just getting started.
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.