Abridge

Machine Learning Infrastructure Engineer- Model Inference

Abridge
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1 year ago

Base Salary

$221k - $260k/yr

Responsibilities

  • Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training
  • Develop, optimize, and maintain high-performance, low-latency machine-learning model-serving infrastructure
  • Scale backend infrastructure for AI-driven products through model deployment, throughput optimization, and compute efficiency
  • Optimize compute-heavy workflows and GPU utilization for machine-learning workloads
  • Build a robust model API orchestration system
  • Define and implement infrastructure-scaling strategies with leadership

Requirements

  • Strong experience building and deploying machine-learning models in production environments
  • Deep understanding of container orchestration and distributed-systems architecture
  • Expertise administering Kubernetes, including custom resource definitions, operators, and cluster management
  • Experience developing APIs and managing distributed systems for batch and real-time workloads
  • Strong communication skills for interfacing between research and product engineering

Benefits

  • 14 paid holidays and flexible PTO for salaried employees
  • Medical, dental, and vision coverage for full-time employees and their families
  • HSA contributions for employees enrolled in a high-deductible health plan
  • Paid parental leave and family-forming benefits
  • 401(k)) matching
  • Personal device allowance
  • Flexible Spending Accounts and commuter benefits
  • Monthly lifestyle wallet contributions for fitness, professional development, coworking, and more
  • Mental health therapy and coaching support
  • Paid sabbatical leave after five years of employment
  • Equity grants for full-time employees

Tech Stack

Abridge

About Abridge

501-1,000 employees

Abridge builds an AI platform that converts patient–clinician conversations into EHR-ready clinical documentation for hospitals and clinicians. The enterprise SaaS includes automatic speech recognition and clinical note generation validated across 28+ languages, and integrates with major EHR systems. Founded in 2018 and headquartered in San Francisco, the privately held company sells to U.S. health systems, hospitals, and clinics.

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