Computer Vision Engineer

present of AI; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

Augmodo builds wearable SmartBadges that passively scan retail stores to create live 3D maps and real-time shelf inventory data. This role focuses on building and tuning vision and machine learning pipelines for localization, mapping, and detection, then ensuring they run reliably at scale on embedded devices.

A strong candidate brings hands-on production vision work, solid Python and ideally C++, and comfort with PyTorch or TensorFlow plus OpenCV.

Qualifications

• Hands-on production vision experience with real-time image/video processing.
• Proficient in Python and C++, with familiarity in PyTorch or TensorFlow and OpenCV.

Responsibilities

• Build and tune vision pipelines for localization, mapping and detection.
• Run pipelines at scale on large image/video datasets.
• Collaborate with hardware engineers to fit pipelines onto devices and ensure reliable deployment.

Skills

Python

C++

PyTorch

TensorFlow

OpenCV

Tools

OpenCV

Edge device deployment

Job description

The role centers on building and tuning vision and machine learning pipelines for localization, mapping and detection, then making them run reliably at scale on large image and video datasets. A strong candidate brings several years of hands on production vision work, solid Python and ideally C++, and comfort with frameworks like PyTorch or TensorFlow plus OpenCV. Working closely with hardware engineers to fit the pipeline onto the device is part of the job, so practical integration sense matters.

How it fits the AI era

Much of the routine model training and tuning can now be sped up with AI tooling, which shifts attention toward data quality, evaluation and the hard edge cases. The human core stays in designing robust algorithms, judging what good output looks like in a real store, and making systems stable on wearable hardware. Collaboration with hardware and clear communication remain firmly human tasks.

How it builds AI experience

A person here would gain hands on experience with real time vision on embedded and wearable devices, large scale image and video processing, and the gap between lab models and field performance. Building that means practicing deployment on constrained hardware, working with messy real world datasets, and learning how localization and mapping pipelines behave outside controlled settings. The retail scanning focus gives concrete grounding in spatial computing work.

Worth showing

• Python and C++
• PyTorch or TensorFlow
• Real time embedded deployment

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Augmodo

Augmodo builds wearable SmartBadges that passively scan retail stores to create live 3D maps and real-time shelf inventory data, per the company.

Tools mentioned: computer vision, machine learning, robotics, Python, C++, PyTorch, TensorFlow, deep learning