Applied AI Engineer (Computer Vision)

Location: Herndon, VA, United States; hybrid workplace

Company

hirify.global develops vision AI solutions for leading retailers, powering real-time retail products at scale.

What you will do

• Design, train, evaluate, and own vision and multimodal models from prototype through production.
• Apply vision language models and world models to real retail use cases.
• Build and optimize real-time vision AI pipelines processing live video across thousands of checkouts and stores.
• Optimize models for GPU and edge deployment using TensorRT, ONNX, and CUDA.
• Run experiments, measure results, and make data-driven decisions about production releases.
• Collaborate with research, platform, infrastructure, MLOps, product, operations, hardware, and cloud partners.

Requirements

• 3–5 years of experience building and shipping machine learning or computer vision systems into production.
• Working knowledge of vision language models and world models.
• Strong Python programming skills and hands-on experience with PyTorch or a comparable deep learning framework.
• Strong foundations in computer vision and deep learning, including model training, evaluation, tuning, and debugging on messy data.
• Experience with real-time video or image data and model optimization tools such as TensorRT, ONNX, CUDA, and GPU inference.
• Understanding of software engineering principles, Git, CI/CD pipelines, and long-term code and model quality; a bachelor's or master's degree in a relevant field or equivalent practical experience.

Nice to have

• Experience building real-time vision AI applications.

Culture & Benefits

• Hands-on work on AI systems deployed to thousands of retail stores.
• Collaboration within a fast-moving, delivery-focused engineering organization.
• Opportunities to work with NVIDIA and Google hardware and cloud partners.
• Independent problem-solving and contribution to a shared codebase through engineering reviews.