Lead Computer Vision Engineer for Real-Time Retail AI

United States Digital Space LLC; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Flexible work locations

Job summary

Arpalus in the United States is seeking a Principal Computer Vision Engineer to join our core AI team. You will craft perception systems that power real-time retail analytics, bridging research and production, and shaping the technical strategy for the AI group.

You'll work hands-on in Python and C++, integrate with mobile teams, and deliver observable, scalable algorithms. We value pragmatic tradeoffs, clear communication, and ownership in a fast-moving environment.

Qualifications

• 6+ years of experience in computer vision, machine learning, or related field.
• Deep expertise in classic CV techniques and modern DL architectures for object detection, classification, and segmentation.
• Production-grade Python development and scalable model training/evaluation pipelines.
• Experience deploying models in resource-constrained or real-time environments.
• Experience collaborating with mobile teams to integrate CV models into SDKs (iOS/Android).

Responsibilities

• Architect and Own: evolve core CV pipelines from research to production deployment.
• Blend classic CV with AI: build robust CV algorithms alongside deep learning.
• Model development: train, evaluate, and fine-tune DL models for detection and segmentation.
• Optimize for production: implement high-performance inference pipelines in Python/C++ with TensorRT/CUDA.
• Technical leadership: standardize training methodologies and balance accuracy, speed, and compute.

Skills

CV/ML experience

OpenCV

PyTorch

Python

Real-time systems

Tools

TensorRT

Job description

Arpalus in the United States is seeking a Principal Computer Vision Engineer to join our core AI team. You will craft perception systems that power real-time retail analytics, bridging research and production, and shaping the technical strategy for the AI group.

You'll work hands-on in Python and C++, integrate with mobile teams, and deliver observable, scalable algorithms. We value pragmatic tradeoffs, clear communication, and ownership in a fast-moving environment.