ML Ops Engineer - Remote

Overview

An ML Ops Engineer is needed to transform language models into real-world applications, ensuring high performance and reliability in AI systems.

In Short

• Run and manage open-source models efficiently
• Ensure high performance and stability across resources
• Monitor and troubleshoot model inference
• Collaborate with engineers to implement scalable solutions
• Enjoy ownership and independence in your work
• Prototype, test, and iterate quickly
• Adapt to shifting priorities in a startup environment
• Embrace feedback and failure as part of growth
• Lift others up while achieving personal goals
• Engage in a high-impact role with global exposure

Requirements

• Experience with model serving platforms
• Proficiency in GPU orchestration tools
• Ability to monitor latency and scale systems
• Experience setting up inference endpoints

Benefits

• Flat structure and real ownership
• Flexible work arrangements
• Top-of-market compensation
• Health, dental, and vision insurance
• Unlimited, flexible time off
• Global travel insurance
• Housing rental subsidies and cafeteria perks