Computer Vision Engineer (YOLO & Deep Learning)

Wisy Platforms, Inc.

Wisy Platforms, Inc.

Software Engineering, Data Science

Remote

Posted on Mar 18, 2026

Wisy is building the intelligence layer for retail execution. We're an AI platform that guides field teams to take the right action, in real time, in every store, turning teams of field workers into a superpowered workforce. Backed by 8VC, Google and Nvidia.


Role

Computer Vision Engineer (YOLO & Deep Learning)

Full-time, Remote

We are seeking a highly skilled Computer Vision Engineer with hands-on experience in YOLO-based object detection to help us scale our AI capabilities in complex, real-world retail environments.


Responsibilities

What you'll do

  • Design, implement, and deploy YOLO-based object detection models for retail shelf and product imagery.
  • Build end-to-end pipelines for image preprocessing, model inference, and postprocessing.
  • Collaborate with backend, AI, and infrastructure engineers to integrate computer vision modules into Wisy’s broader AI platform.
  • Optimize inference for real-time performance across both cloud and edge environments, balancing trade-offs between accuracy and efficiency in resource-constrained contexts such as low-end Android devices.
  • Lead model evaluation using performance metrics (mAP, precision, recall, F1).
  • Develop strategies for data labeling, quality control, and image annotation workflows.
  • Conduct experiments using transfer learning, data augmentation, and model fine-tuning techniques.
  • Implement best practices in version control, reproducibility, and MLOps.
  • Create and maintain technical documentation and support onboarding of new team members.
  • Contribute to sprint planning, estimations, and architecture discussions.
  • Research and prototype emerging computer vision techniques to improve product accuracy and speed.
  • Support internal tooling and developer experience as it relates to model deployment and visualization.
  • Diagnose and troubleshoot performance issues in models and data pipelines.
  • Demonstrate AI proficiency by integrating advanced tools into your daily workflow to increase velocity, ensure high-quality results, and hit 10x productivity targets.
  • Ensure compliance with internal standards for security, data privacy, and operational excellence.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • 3+ years of hands-on experience in computer vision and deep learning.
  • Proven experience with YOLOv5, YOLOv8, or similar object detection architectures.
  • Proficiency in Python and frameworks such as PyTorch or TensorFlow.
  • Familiarity with image annotation tools (e.g., CVAT, Label Studio) and labeling workflows.
  • Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Strong understanding of CNNs, training pipelines, and model evaluation strategies.

What we value

  • Clarity & Simplicity – Writing clean, maintainable, and scalable code is a must.
  • Bias for Action – You take initiative and move quickly, even with ambiguity.
  • Collaboration Over Ego – You work well with others, seek feedback, and respect every perspective.
  • Curiosity & Growth Mindset – You stay on top of industry trends and continuously improve your skills.
  • Customer Obsession – You build with the end user in mind and align work to real outcomes.
  • Trust & Transparency – You communicate openly and own your responsibilities.

Nice to have

  • Experience in the retail, logistics, or consumer goods industries
  • Experience deploying models to mobile or edge devices