Machine Learning Infrastructure Engineer - Remote

Overview

As a ML Infrastructure Engineer at Augmodo, you will develop large-scale, real-time systems and pipelines for handling petabytes of video, image, and analytics data, collaborating with cloud and edge/store engineers.

In Short

• Build real-time, scalable and reliable video and image processing systems and pipelines.
• Develop and manage petabyte-scale data infrastructure and systems.
• Design and develop APIs to automate the ML development lifecycle.
• Optimize system performance for ML inference and deployment.
• Expertise in large scale, real-time data pipelines and distributed systems.
• Strong programming skills in Python and one of Java/Scala/Go/Rust/C++.
• Excellent problem-solving and analytical skills.
• 5 years of experience in production-grade ML systems.
• Bachelor's in Computer Science, Robotics, or a related field.
• Master's or PhD in a related field preferred.

Requirements

• Strong communication and teamwork skills.
• Familiarity with ML frameworks like PyTorch and TensorFlow.
• Experience in large scale Computer Vision and ML development.

Benefits

• Competitive salary with equity options.
• Opportunity to work at the forefront of spatial computing.
• Collaborative work environment with talented teams.