---
title: 'ML Engineer at Freed'
canonical: 'https://feeny.ai/job/ml-engineer-freed-san-francisco-k0k595sy6s8r'
type: 'job'
last_seen: '2026-11-05'
---

# ML Engineer at Freed

- **Company:** Freed
- **Location:** San Francisco, CA
- **Compensation:** $220k–$300k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-30
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/freed/161d4300-0a97-4263-8aa5-c23a1dd3b92c

## Job description

Machine Learning Engineer Location: San Francisco, CA Team: Engineering Employment Type: Full-time

## About Freed

Freed is building AI-powered tools that reduce the administrative burden on healthcare professionals, giving clinicians more time to focus on patient care. We’re looking for a Machine Learning Engineer to help develop, improve, and scale the AI systems powering our products.

## About the Role

As a Machine Learning Engineer at Freed, you’ll work at the intersection of applied machine learning, software engineering, and product development. You’ll help take ML solutions from experimentation into production, working closely with engineers and cross-functional partners to build reliable, high-quality AI experiences for clinicians. This role is ideal for someone who enjoys solving complex technical problems, moving quickly, and seeing their work make a tangible impact.

## What You’ll Do

- Develop, evaluate, and improve machine learning models and AI-powered product capabilities.
- Build and maintain production ML pipelines, services, and supporting infrastructure.
- Design experiments and evaluation frameworks to measure model quality, reliability, and performance.
- Collaborate with product and engineering teams to translate user needs into practical technical solutions.
- Improve the scalability, efficiency, and reliability of ML systems in production.
- Investigate model failures, identify opportunities for improvement, and iterate using real-world feedback.
- Contribute to technical decisions and engineering best practices across the ML lifecycle.

## What We’re Looking For

- Strong software engineering fundamentals and experience building production systems.
- Hands-on experience developing and deploying machine learning solutions.
- Proficiency in Python and familiarity with modern ML frameworks and tooling.
- Experience evaluating model performance and improving systems through experimentation.
- Understanding of ML infrastructure, deployment, monitoring, and production reliability.
- Ability to work independently, communicate clearly, and collaborate across disciplines.
- Comfort operating in a fast-moving environment with evolving technical and product requirements.

## Nice to Have

- Experience with large language models, generative AI, or speech-related ML systems.
- Experience with model evaluation, fine-tuning, or inference optimization.
- Familiarity with healthcare technology or other high-reliability product environments.
- Experience building ML products in an early-stage startup.

Why Freed? At Freed, you’ll work on meaningful technical challenges with a direct connection to the people using what you build. You’ll have the opportunity to take ownership, influence technical direction, and help shape AI products that make clinicians’ lives easier.

## About Freed

## Company Overview
- **One-liner**: Freed builds an AI-powered medical scribe and clinic management platform that automates clinical documentation to give clinicians their time back.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Erez Druk (CEO), Andrey Bannikov (CTO)

## Core Business
- **Primary industry/industries**: Healthcare IT, AI-powered medical software
- **Target customers**: Independent clinics and private practice clinicians in the United States (B2B, SMB)
- **Mission or purpose statement**: "By building a company that’s centered on clinician happiness, we aim to bring thriving, local care back to communities."

## Products & Services
- **Freed AI Scribe**: An AI-powered medical scribe that listens to clinician-patient conversations and automatically generates detailed, structured SOAP notes. Syncs with EHR systems. Offers 98% recall on medical terms across 30+ specialties. Starts at $39/month.
- **Freed Coding Assistant**: Provides ICD-10 and CPT coding suggestions embedded in the scribe workflow to help clinics reclaim revenue.
- **Freed Clinical Decision Support**: Offers evidence-based answers to medical questions, tailored to patients’ context, from 50+ trusted sources.
- **Freed Front Desk**: An AI receptionist that answers calls, manages two-way SMS, and maintains a shared clinic inbox. Starts at $149/month.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total Funding — USD $30 million (Series A, led by Sequoia Capital, announced April 2025)
- **Notable Investors/Partners**: Sequoia Capital (lead, Series A)
- **Growth Signals**:
  - Used by 26,000+ clinicians across 1,300+ clinics (as of mid-2025)
  - 5.9 million patient visits transcribed in 2025 alone
  - 32,589,627 total patient visits transcribed to date
  - Headcount grew 28.1% year-over-year (as of early 2026)
  - 98% recall on medical terms; 96% of employees say it's a great place to work [greatplacetowork.com](https://www.greatplacetowork.com/certified-company/7086347)

## Competitive Advantages
- **Clinician-first design**: Founded by Erez Druk, who built the product to solve burnout his physician wife experienced. This empathy drives a "clinician-obsessed" culture.
- **High clinical accuracy**: 98% recall on medical terms across 30+ specialties, tested against thousands of clinical concepts, consistently selected over competitors for note quality.
- **Integrated platform**: Combines scribe, coding, decision support, and front desk into one seamless workflow.
- **HIPAA compliant**: Uses industry best practices and does not store patient recordings.
- **Fast adoption**: Independent clinics can onboard and customize workflows in minutes, not months.

## Strategic Focus
- **Community care, not mega-systems**: Explicitly built for independent clinics, not large hospital systems.
- **Vertical expansion**: Moving beyond scribing to become a full care team operating system (coding, clinical decision support, front desk).
- **AI leadership**: "Use AI for everything" is a core value; product is deeply integrated with the latest AI capabilities.
- **Clinician happiness as a growth engine**: Company bets that making clinicians happy will drive adoption and retention.

## Why Work Here
- **Culture**: High-performance, ownership-driven environment described as "intense, clinician-focused" with "interesting co-workers who want to win." Core values include "extreme responsibility," "earn clinician love," and "use AI for everything."
- **Work model**: Hybrid — employees work in-person 3 days per week (Monday-Wednesday) in either NYC or San Francisco office. [getfreed.ai](https://www.getfreed.ai/company)
- **Perks**: Unlimited PTO, top-tier health/dental/vision benefits, company equity for all employees, generous parental leave, company retreats twice a year, free snacks and drinks, on-site mother's room.
- **Engineering culture**: Technically focused (25 of 78 employees are in technical roles). Founders are hands-on (CEO is an engineer who built the product for his wife).
- **Growth trajectory**: One of "the fastest-growing healthcare products in history" per the company. High-impact role at a small but scaling team (78 employees as of early 2026).

## Sources
1. [getfreed.ai](https://www.getfreed.ai/)
2. [getfreed.ai/company](https://www.getfreed.ai/company)
3. [linkedin.com/company/freed-ai](https://www.linkedin.com/company/freed-ai)
4. [greatplacetowork.com](https://www.greatplacetowork.com/certified-company/7086347)
5. [builtinsf.com](https://www.builtinsf.com/company/freed-ai)

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