Ambience Healthcare

Ambience Healthcare

Staff ML Engineer, Frontier AI

San Francisco · Staff+

Sponsorship not specified$244k-$305kDetected 220 days ago
PythonCI/CDRESTMachine LearningPyTorchNLPLLMsAgentic AIMLOpsA/B TestingManual TestingResearch

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Post-Training and Model Improvement Expertise
  • Prior work in healthcare, clinical AI, or other regulated, high-stakes industries.
  • Experience interviewing or hiring ML engineers.

Responsibilities

  • You'll identify the highest-impact opportunities to improve model behavior, evaluation, post-training, and agentic systems, and lead the design and execution of cross-cutting initiatives.
  • Drive Production Model Improvement: Identify high-impact failure modes across products and lead improvements across prompting, retrieval, context, routing, data, and post-training.
  • Design experiments that determine the right intervention and prove that improvements hold in production.
  • Build Self-Improving AI Loops: Design the systems that turn production failures and user feedback into better datasets, evaluations, and model behavior, creating scalable improvement flywheels across products.
  • Shape the AI Roadmap: Co-develop the 12-month technical roadmap, balancing near-term product wins with longer-term research and platform investments.
  • Stay at the Cutting Edge: Distill insights from recent research in LLMs, agents, post-training, NLP, speech, and multimodal AI, and drive experiments that keep Ambience at the forefront of clinical AI.
  • Operate with real ownership and accountability in an environment where there are no bystanders: If something is broken, we fix it! You will have meaningful autonomy and be expected to drive work to completion.
  • We operate as a championship team, and that means being ok with hard, uncomfortable, ambiguous problems that lead to real greatness.
  • You will have meaningful autonomy and be expected to drive work to completion.

Requirements

  • 7+ years in production ML, research engineering, or applied AI.
  • Deep expertise with modern LLMs, transformers, and complex production AI systems.
  • Significant experience designing evaluations for LLMs, agents, or other complex AI systems.
  • Agentic Systems Expertise

Compensation

  • 401(k) with a company match of up to 3% of base salary
  • Annual company-wide off-sites, team off-sites and regular team lunches and all-hands gatherings, with travel, lodging and meals covered

Benefits

  • 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.
  • To help you do your best work, we pair these expectations with benefits intentionally designed to help you feel supported and safe at Ambience and beyond.
  • Some of our key benefits include
  • Comprehensive medical, dental, and vision coverage for you and your dependents
  • Parental leave to support your family needs
  • 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

Company info

  • Here at Ambience, we never set out to be just another scribe. We're building the AI intelligence platform that restores humanity to healthcare and drives meaningful ROI for health systems across the country.
  • 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 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. We're backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins - and we're just getting started.
  • Here at Ambience, we never set out to be just another scribe.
  • We're building the AI intelligence platform that restores humanity to healthcare and drives meaningful ROI for health systems across the country.
  • 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 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.
  • We're backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins - and we're just getting started.
  • As a Staff Machine Learning Engineer at Ambience, you will help set the technical direction for the AI systems that power our clinical products.
  • This is a highly hands-on role with broad technical influence.
  • You'll work closely with clinicians, product managers, researchers, and engineers to translate cutting-edge research into reliable, production-grade AI systems.
  • Our engineering roles are hybrid - working onsite at our San Francisco office three days per week.
  • Define the AI Quality and Evaluation Strategy: Establish how we measure production AI quality across LLM and agentic systems, including automated graders, regression testing, human evaluation, failure taxonomies, and offline-to-online validation.
  • Drive Production Model Improvement: Identify high-impact failure modes across products and lead improvements across prompting, retrieval, context, routing, data, and post-training. Design experiments that determine the right intervention and prove that improvements hold in production.
  • Advance Post-Training Capabilities: Shape how Ambience uses techniques such as supervised fine-tuning, preference optimization, reinforcement learning, distillation, and synthetic data to improve model behavior.
  • Architect Agentic AI Systems: Set technical direction for production systems involving tool use, retrieval, context and state management, routing, orchestration, tracing, and failure recovery.
  • Raise the Technical Bar: Lead technical reviews, mentor engineers, establish best practices, and create reusable systems and frameworks that improve the effectiveness of the broader AI team.
  • Expert in Production AI Systems
  • Have led or materially shaped consequential AI systems with real production impact.
  • Able to reason across models, data, orchestration, evaluation, serving, and product behavior.

Equal opportunity

  • equal opportunity employer and is committed to building a diverse and inclusive workplace.
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This listing is sourced directly from Ambience Healthcare's careers page and normalized into a canonical job model.