Machine Learning Systems Engineer (Staff/Senior) - Remote

Overview

Abridge is a mission-driven organization focused on improving healthcare through AI-powered solutions. As an ML Systems Engineer, you will be responsible for scaling and deploying machine learning models to enhance our healthcare platform.

In Short

• Architect and implement ML software systems for model deployment.
• Stand up ML models for inference and ensure scalability.
• Develop infrastructure for efficient ML operations.
• Collaborate with cross-functional teams for seamless integration.
• Optimize ML systems for performance and availability.
• Troubleshoot production issues and enhance system efficiency.
• 5+ years of experience in ML model deployment.
• Strong proficiency in Python and Kubernetes.
• Experience with cloud environments and IaC.
• Excellent communication skills.

Requirements

• 5+ years of experience in ML model deployment and scaling.
• Proficiency in Python and Kubernetes.
• Experience with cloud environments and IaC.
• Expertise in designing fault-tolerant systems.
• Strong debugging and optimization skills.
• Experience in software design for ML systems.
• Bachelor's/Master’s Degree in relevant fields.
• Excellent interpersonal skills.

Benefits

• Flexible/Unlimited PTO.
• Equity for all salaried team members.
• 100% medical premium coverage for employees.
• Learning and Development budget of $3,000/year.
• 401k Plan for retirement savings.
• 16 weeks paid parental leave.
• Home Office Budget of up to $1,600.
• 30 days of paid Sabbatical Leave after 5 years.
• Flexible working hours.
• Relocation assistance available.