ML Infrastructure Engineer - Remote

Overview

Augmodo is at the forefront of spatial computing, where mapping connects the digital and physical worlds. As a ML Infrastructure Engineer, you will play a key role in our computer vision and infrastructure teams to develop large-scale, real time systems and pipelines handling petabytes of video, image and analytics data. You will partner with both cloud and edge/store engineers to scale and optimize ML CI/CD development for ultimately tens of thousands of stores worldwide.

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 ML development lifecycle from training, testing to deployment
• Identify and optimize system performance, including for ML inference and deployment on both cloud and real-time edge systems.

Requirements

• Expertise in large scale, real-time data pipelines, infrastructure and distributed systems
• Strong programming skills in C++, Python and Go/Rust.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork skills.
• 5 years of experience in production-grade ML systems and data pipelines
• Bachelor in Computer Science, Robotics, or a related field.

Benefits

• Master's degree or PhD in Computer Science or a related technical field
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g., OpenCV).
• Experience in large scale Computer Vision and deep-learning ML development