Senior Vision Algorithm Engineer

We're looking for a Senior Deep Learning Engineer to own state-of-the-art vision models from first idea to production deployment. You'll join the R&D team behind our core inspection portfolio, solving real-world visual problems on one of the most unique vehicle-imaging datasets in the industry.

A Day in the Life & How You'll Make an Impact:

Invent, don't just implement. You'll design novel, robust and efficient deep learning algorithms for hard vision problems: detecting subtle defects across thousands of vehicle makes, models and conditions.

Take ideas all the way to production. You'll build PoCs for new products and turn research-grade prototypes into scalable systems running in live customer sites worldwide.

Let the data lead. You'll benchmark and profile models on large-scale proprietary datasets and drive data-centric AI practices such as active learning and smart data curation.

Make it fast in the real world. You'll partner with the MLOps, infrastructure, and hardware teams to shape our technology roadmap and optimize models for real-time inference on edge and cloud.

Requirements:

4+ years of industry experience developing, optimizing and deploying deep learning models in production

Hands-on experience with core computer vision tasks: object detection, classification and segmentation

Strong understanding of modern architectures, including CNNs and Vision Transformers (ViTs)

Strong Python skills and hands-on experience with PyTorch (or TensorFlow)

Independence and self-drive in ambiguous, unexplored problem spaces

What Will Make You Stand Out

3D perception, multi-view geometry, or anomaly detection

Tracking, re-identification, image retrieval, pose estimation, OCR, or image registration

Diffusion models or generative AI for vision

C/C++, and edge optimization experience (TensorRT, ONNX, quantization)

Active learning or other data-centric AI methodologies