1 year ago
Base Salary
$221k - $260k/yr
Responsibilities
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training.
- Develop and optimize ML model-serving infrastructure for high performance and low latency.
- Scale backend infrastructure for AI-driven products, including 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 company leadership.
Requirements
- At least 5 years of experience building and deploying machine learning models in production environments.
- Deep understanding of container orchestration and distributed systems architecture.
- Expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management.
- Experience developing APIs and managing distributed systems for batch and real-time workloads.
- Excellent communication skills for interfacing between research and product engineering.
Benefits
- 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly 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, flexible spending accounts, and commuter benefits.
- Personal device allowance and a monthly lifestyle wallet for fitness, professional development, coworking, and more.
- Mental health therapy and coaching support.
- Paid sabbatical leave after 5 years of employment.
- Flexible work hours, an inclusive culture, and ongoing learning opportunities.
Tech Stack
Categories
About Abridge
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.