Computer Vision Engineer

Job not on LinkedIn

🕒 March 28

💵 $155k - $210k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👁️ Computer Vision Engineer

Where this job comes from

Posted on Augmodo's careers page ↗Augmodo's careers page, not through a job board

First seen by Remote Rocketship March 28

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Logo of Augmodo

Augmodo

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Augmodo is a technology company that specializes in enhancing retail operations through its innovative solutions. With a focus on leveraging spatial AI, Augmodo provides real-time tracking and insights into store conditions, enabling brands to optimize inventory management and improve associate efficiency. Their unique Smartbadge™ technology allows for passive supervision and data gathering without sacrificing employee privacy or requiring significant operational changes, ensuring a smoother experience for retail workers and shoppers alike.

📋 Description

• Design, implement, and optimize algorithms for computer vision and machine learning • Develop and maintain robust and scalable systems for processing large-scale computer vision systems and image datasets • Contribute to novel computer vision techniques for video processing and image recognition • Collaborate with hardware engineers to integrate and optimize computer vision pipelines

🎯 Requirements

• Expertise in Computer Vision, Deep Learning and ML algorithms and techniques • Strong programming skills in Python; ideally also C++ • Proficiency in machine learning frameworks such as PyTorch and TensorFlow • Proficiency in computer vision libraries such as OpenCV • Excellent problem-solving and analytical skills • Strong communication and teamwork skills • 3+ years of experience in production-level computer vision systems • Bachelor's or Master's in Computer Science, Robotics, or a related field • Ph.D. in Computer Science, Robotics, or a related field preferred • 5+ years of experience in production-grade computer vision systems preferred • Experience deploying real-time systems on embedded or robotic platforms preferred • Must be currently authorized to work in the USA, Canada, or the UK without sponsorship now or in the future

🏖️ Benefits

• Equity • Equal employment opportunities and nondiscrimination protections • Workplace harassment protections

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