Ambience Healthcare

Ambience Healthcare

Senior Machine Learning Engineer

San Francisco · Senior

Sponsorship not specified$204k-$255kDetected 72 days ago
PythonCI/CDRESTMachine LearningPyTorchNLPLLMsAgentic AIMLOpsManual TestingResearchMentoring

Stay score

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.

Personalize to your clock →

H-1B wage level

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

Level III · 3×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

$17,187 more — $221,187 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,187 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

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.

Community outcomes

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About the role

  • This is a highly hands-on role with significant technical ownership.
  • You'll work closely with clinicians, product managers, and fellow 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.

Responsibilities

  • Build Trustworthy AI Evaluation Systems: Design and own evaluation pipelines for LLM and agentic systems, combining automated graders, regression testing, production feedback, and human evaluation to measure real product quality.
  • Build Agentic AI Systems: Develop production systems involving tool use, retrieval, context and state management, routing, orchestration, tracing, and failure recovery.
  • Own AI Systems End-to-End: Work across models, data, evaluation, orchestration, serving, and observability, while remaining deeply hands-on in code and production debugging.
  • 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

  • Strong Production AI Experience
  • 5+ years in production ML, research engineering, or applied AI.
  • Strong understanding of modern LLMs, transformers, and production AI systems.
  • Agentic Systems Experience

Nice to have

  • Proficient in Python and modern ML frameworks
  • PyTorch preferred.

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
  • Ambience Healthcare has become aware of scams targeting jobseekers with fake jobs and even interviewing people.

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 Senior Machine Learning Engineer at Ambience, you will build and improve the AI systems that power our clinical products.
  • You'll own complex projects end-to-end, from diagnosing production failures and designing evaluations to building, deploying, and iterating on model and agentic systems.
  • Improve Production Model Behavior: Diagnose high-impact failure modes and test improvements across prompting, retrieval, context, routing, data, fine-tuning, or other model and system interventions.
  • Build Data and Improvement Flywheels: Turn production failures and user feedback into better datasets, evaluations, and model behavior through active learning and systematic iteration.
  • Stay at the Cutting Edge: Distill insights from recent research in LLMs, agents, NLP, speech, and multimodal AI and translate promising ideas into practical experiments.
  • Have built a consequential production AI system or materially improved model behavior in production.
  • Deep Evaluation Experience
  • Experienced designing evaluations for LLMs, agents, or other complex AI systems.
  • Can turn ambiguous quality problems into measurable dimensions, datasets, and experiments.

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.