Computer Vision Engineer - R&D

Senior Computer Vision EngineerPanoptyc is seeking an exceptional Senior Computer Vision Engineer to architect and train cutting-edge models for retail object recognition and drive our edge deployment strategy.About The RoleYou’ll be the technical force behind our computer vision capabilities, building and optimizing models that power real-world retail applications. This role demands someone who can move seamlessly from training custom YOLO architectures to deploying optimized models on edge devices, all while pushing the boundaries of what’s possible in retail computer vision.What You’ll DoModel Development: Design, train, and iterate on custom object detection models specifically tuned for retail environments, inventory tracking, and product recognitionEdge Optimization: Take state-of-the-art models and make them blazingly fast for edge deployment through quantization, pruning, and architectural optimizationDataset Engineering: Build robust data pipelines and annotation workflows to continuously improve model performance on diverse retail scenariosResearch & Innovation: Stay ahead of the curve on CV research, prototype new architectures, and determine what’s actually production-ready versus academic noiseTechnical Leadership: Mentor engineers, establish best practices for model development, and drive technical decisions around our CV infrastructureLLM Integration: Explore and implement multimodal approaches combining vision and language models for enhanced product understanding and classificationRequired Experience5+ years of hands-on computer vision engineering, with a proven track record of shipping models to productionDeep expertise with YOLO and YOLO-E architectures - you’ve trained them, tuned them, and know their quirks intimatelyEdge deployment mastery - experience with TensorRT, ONNX Runtime, or similar frameworks for optimizing models for constrained devicesLLM and LLMOps experience - practical knowledge of large language models, fine-tuning, prompt engineering, and building reliable LLM-powered systemsStrong software engineering fundamentals - clean code, version control, CI/CD for ML, and the ability to build maintainable systemsProduction ML experience - you understand the difference between a Jupyter notebook and a production-grade ML systemPreferred QualificationsExperience with retail, inventory management, or similar product-focused CV applicationsBackground with PyTorch and modern training frameworksFamiliarity with synthetic data generation and data augmentation techniquesKnowledge of model versioning, experiment tracking (MLflow, Weights & Biases, etc.)Publications or open-source contributions in computer visionExperience with AWS solutions like EC2, ECS, Fargate, S3, Bedrock, Sagemaker etc.. Technical StackWhile we value expertise over specific tools, you’ll likely work with: PyTorch, YOLO variants, TensorRT, ONNX, Docker, Kubernetes, and various MLOps tooling.Location: RemoteCompensation: up to $60/hr USD (based on location)Panoptyc is building the future of retail intelligence. If you’re ready to tackle hard CV problems at scale, we want to hear from you.