Applied AI Engineer

Everseen•Herndon, VA

1d•Hybrid

About The Position

Everseen is a leader in vision AI solutions for the world’s leading retailers. This role reports to the VP of Engineering and involves building the next generation platform that powers Everseen’s products. It is a hands-on role focused on designing, training, and deploying models into production that operate on live retail video at a massive scale. The engineer will work with the latest advances in vision and multimodal AI, including vision language models and world models, and the systems that enable real-time operation. This is a high-impact role with the opportunity to tackle complex problems and see work deployed in thousands of stores, impacting customer journeys in real time. The role offers career advancement by working alongside industry experts and scaling a successful global organization.

Requirements

3-5 years building and shipping machine learning or computer vision systems, with practical experience taking models into production.
Working knowledge of vision language models (VLMs) and world models.
Strong programming skills in Python.
Hands-on experience with a modern deep learning framework such as PyTorch.
Solid grounding in computer vision and deep learning fundamentals, including training, evaluation, and debugging of real models on messy data.
Deep understanding of computer vision and deep learning fundamentals including tuning, training, evaluation and debugging of real models on messy data.
Familiarity with model optimization and deployment tooling such as TensorRT, ONNX, CUDA and GPU inference.
Comfortable working with large scale video or image data and the infrastructure around it.
Solid understanding of software engineering principles, version control (Git), and CI/CD pipelines.
Ability to integrate and maintain strict standards of code and model quality for easy long-term maintenance.
A results-first mindset; focus on whether the model works in the store, not just on benchmarks.
Excellent communication skills.
Ability and desire to work independently in a fast-moving, delivery-focused team.
Enjoy solving complex problems creatively.
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering or a related field, or equivalent practical experience.

Nice To Haves

Experience building real-time vision AI applications is a strong advantage.

Responsibilities

Design, train, evaluate, and own vision and multimodal models for Everseen’s next generation platform, taking them from prototype through to production.
Apply vision language models and world models to real retail problems, understanding scalability and limitations.
Design and implement targeted solutions to optimize system efficiency, real-time performance, and output.
Build and optimize real-time vision AI pipelines that process live video across thousands of checkouts and stores.
Partner with research and platform engineers to move new model architectures into production under tight latency and cost constraints.
Run experiments, measure results honestly, and let the data guide deployment decisions.
Optimize models for GPU and edge deployment using tools such as TensorRT and ONNX, balancing accuracy with speed and footprint.
Contribute to and collaborate on the shared codebase, review other engineers’ work, and help improve team standards.
Stay updated with new research in computer vision and multimodal AI, expand on experimental results, and successfully transition research to production.