> Markdown version of [/jobs/ext/2617922-senior-computer-vision-applied-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2617922-senior-computer-vision-applied-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Computer Vision / Applied AI Engineer - **Company:** Simbe Robotics, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $160,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Nvidia CUDA, Data Auditing, Data Visualization, Software Debugging, Linux, Python (Programming Language), Machine Learning, Object Detection, Open Source Technology, Tensorflow, Robot Operating System, Pytorch, Model Validation, Low Latency, ONNX (Open Neural Network Exchange) Format, Production Code, Machine Learning Operations, TensorRT, Google Shopping, Data Pipelines, Data Generation - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7f8c84fa927acd52 ## About the Role * 5+ years of experience in computer vision, applied machine learning, robotics perception, or related production AI systems. * Strong Python experience and hands on experience with PyTorch or TensorFlow. * Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models. * Strong understanding of dataset curation, annotation quality, model evaluation, error analysis, and experimentation. * Experience building maintainable production code and data pipelines in a Linux based environment. * Ability to balance research quality with production constraints such as latency, compute, memory, robustness, and ease of deployment. * Strong communication skills and a customer value mindset., * Experience with retail, product recognition, shelf intelligence, OCR, barcode decoding, fine grained recognition, or visual product search. * Experience with ONNX, TensorRT, CUDA, quantization, model profiling, or edge deployment. * Experience with C++, ROS/ROS2, RGBD cameras, 3D geometry, homography, calibration, or robotic perception. * Experience with FiftyOne, CVAT, Labelbox, Roboflow, or other data centric ML tools. * Experience with synthetic data generation, simulation, active learning, or automated annotation workflows. * Publications, patents, open source contributions, or production systems in relevant CV/AI domains. ## Description * You will work on dense, cluttered, real world visual scenes where accuracy directly drives customer value. * You will help improve core Simbe use cases such as out of stock detection, price accuracy, promo compliance, top stock, and product location intelligence. * You will work on the full model lifecycle: data, annotation quality, training, evaluation, release, monitoring, and production debugging., * Build production CV models. Design, train, validate, and deploy models for object detection, segmentation, OCR, barcode localization, product recognition, shelf understanding, and other customer facing computer vision tasks. * Own dataset quality. Curate, clean, version, and analyze large real world training datasets, including hard negative mining, annotation QA, data audits, and active learning workflows. * Improve model performance. Research and implement model architecture, loss function, data augmentation, synthetic data, and evaluation improvements that increase precision, recall, latency, and robustness across customers. * Support model releases. Contribute to model validation, release gates, inference wrappers, ONNX/TensorRT exports, and production monitoring so models are reliable in customer environments. * Develop tooling. Build internal tools for model evaluation, annotation review, error mining, data visualization, dataset exports, and deployment readiness. * Partner cross functionally. Work closely with Product, Customer Success, Data, Robotics Software, and Field Operations to turn customer issues into model and pipeline improvements. * Stay current. Track modern work in open vocabulary detection, promptable segmentation, multimodal product understanding, visual search, OCR, and edge inference, and evaluate where it can create value for Simbe. ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)