Full-Time

Machine Learning Infrastructure Engineer

Posted on 10/30/2024

Abridge

Abridge

201-500 employees

AI platform for clinical documentation automation

Compensation Overview

$185k - $265k/yr

+ Equity

Senior, Expert

San Francisco, CA, USA

Must be willing to work from our SF office at least 3x per week. Relocation assistance is available for candidates willing to move to San Francisco within 6 months of accepting an offer.

Category
Applied Machine Learning
AI & Machine Learning
DevOps & Infrastructure
Required Skills
Kubernetes
Python
Machine Learning
Requirements
  • 5+ years of experience in ML model deployment and scaling, with a focus on production-quality software
  • Strong proficiency in Python and Kubernetes, with experience building scalable ML infrastructure
  • Expertise in designing fault-tolerant, highly available systems
  • Experience working with cloud environments, Infrastructure as Code (IaC), and managing deployments using Kubernetes
  • Proficiency in optimizing system performance, debugging production issues, and designing systems for scalability and security
  • Experience in software design and architecture for highly available machine learning systems for use cases like inference, evaluation, and experimentation
  • Excellent understanding of low-level operating systems concepts, including multi-threading, memory management, networking and storage, performance, and scale
  • Bachelor's/Master’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent
  • Excellent interpersonal and written communication skills
Responsibilities
  • Architect, design, and implement ML software systems for deploying and managing models at scale
  • Stand up ML models for inference, starting with critical models like the 'linkages' model, and ensure they are capable of handling traffic increases
  • Develop and maintain infrastructure that supports efficient ML operations, including model evaluations, deployments, and training at scale
  • Collaborate closely with ML researchers, engineers, and cross-functional teams to ensure seamless integration of models with services like Zoom and Athena
  • Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation
  • Optimize and maintain the performance of ML systems to ensure high availability, fault tolerance, and smooth scalability
  • Troubleshoot production issues and continuously improve systems to enhance performance and efficiency
Desired Qualifications
  • Experience with large-scale ML platforms like Ray, Databricks, or AnyScale
  • Expertise with ML toolchains such as PyTorch or TensorFlow
  • Proven experience working with distributed systems and handling inference at scale
  • Background in working with teams and leaders to deliver impactful ML-powered solutions in fast-paced environments
  • Demonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementation

Abridge provides a platform that uses artificial intelligence to convert medical conversations into structured clinical documentation. This allows healthcare providers to record patient visits, which are then transformed into organized documents that can be easily accessed and utilized. By automating the documentation process, Abridge helps clinicians save time, enabling them to concentrate more on patient care rather than paperwork. Unlike many competitors, Abridge specifically targets healthcare providers, payers, and pharmaceutical companies, focusing on improving efficiency and patient outcomes through streamlined documentation. The company's goal is to enhance the quality of healthcare delivery by making clinical documentation more efficient and accessible.

Company Size

201-500

Company Stage

Series D

Total Funding

$457.5M

Headquarters

Pittsburgh, Pennsylvania

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with Sharp HealthCare and Mayo Clinic enhance credibility and market reach.
  • Abridge's AI reduces note-writing effort by 83%, increasing clinician satisfaction and efficiency.
  • Integration with Athenahealth expands Abridge's presence in outpatient care settings.

What critics are saying

  • Competition from Microsoft's Dragon Copilot may impact Abridge's market share.
  • The crowded ambient scribing market could lead to pricing pressures.
  • Maintaining data privacy with multilingual capabilities poses compliance challenges.

What makes Abridge unique

  • Abridge uses AI to transform medical conversations into structured clinical documentation.
  • The platform supports multilingual note-taking, enhancing accessibility for non-English speaking regions.
  • Abridge's Contextual Reasoning Engine generates compliant, billable notes in real-time.

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Benefits

Medical insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Equity

Flexible Spending (FSA) & Health Savings (HSA) Accounts

Learning and Development budget

401k Plan

Paid Parental Leave

Flexible working hours

Home Office Budget

Sabbatical Leave

Growth & Insights and Company News

Headcount

6 month growth

-12%

1 year growth

-10%

2 year growth

-14%
Hit Consultant
Apr 10th, 2025
Sharp Healthcare To Deploy Abridge Genai Platform To Enhance Clinical Documentation

Sharp HealthCare to Deploy Abridge GenAI Platform to Enhance Clinical Documentation. by Fred Pennic 04/10/2025 Leave a Comment. What You Should Know:– Sharp HealthCare, the largest integrated health system in San Diego, is set to implement the Abridge generative AI platform across its enterprise.– The implementation will streamline the creation of medical documentation, ensuring it is comprehensive, compliant, and billable, thereby enabling clinicians to dedicate their full attention to patient care. Abridge’s technology will be deployed throughout Sharp HealthCare locations, which collectively serve over one million patients annually.Abridge’s Contextual Reasoning EngineAbridge’s platform uses its Contextual Reasoning Engine, an AI architecture, to generate compliant, structured, and billable notes in real-time during patient care. This capability is designed to support clinicians and health systems in accurately capturing the value of the care they provide.  Data from a pilot program, where Abridge was rigorously tested across various specialties, languages, and care settings within Sharp HealthCare, revealed significant improvements:83% reduction in note-writing effort  83% increase in work satisfaction among clinicians  75% increase in note quality  The pilot study also reported a self-reported 10% increase in clinicians’ ability to see additional patients requiring urgent attention. “Enterprise-grade healthcare AI removes barriers between patients and clinicians and delivers ROI for healthcare systems,” said Dr. Shiv Rao, CEO and Founder of Abridge

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Apr 4th, 2025
Abridge Leadership Team at Health Evolution Summit

Abridge is excited to help lead the transformative conversations on navigating the AI revolution in healthcare at the Health Evolution Summit!

AI and You
Mar 18th, 2025
How this AI note-taker gives your doctor more time for actual doctoring

Abridge is No. 7 on the list of the World's 50 Most Innovative Companies of 2025.

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Mar 11th, 2025
Enhancing Nursing Workflows with Abridge and Mayo Clinic

Mayo Clinic and Abridge have partnered to develop ambient AI technology that supports nursing workflows.

AIBuzzHub
Mar 9th, 2025
Athenahealth Expands AI Technology With Abridge Partnership

Abridge's note-taking capabilities will be integrated into athenaOne, Athenahealth's comprehensive cloud-based platform for electronic health records, practice management, and revenue cycle management specifically designed for outpatient care.

INACTIVE