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# Computer Vision Researcher

- **Company:** Ova Technologies
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** 3D Scanning, Artificial Intelligence, Amazon Web Services, Optical Character Recognition (OCR), Computer Vision, Microsoft Azure, Cloud Computing, Software Code Optimization, Nvidia CUDA, Digital Rendering, Software Debugging, Linux, Distributed Computing Environment, Python (Programming Language), Machine Learning, Language Modeling, NumPy, Object Detection, OpenCV, Open Source Technology, Tensorflow, Standard Sql, Reinforcement Learning, Neural Rendering, Google Cloud, Pytorch, DeepSpeed, Large Language Models, Deep Learning, Model Validation, Generative AI, Convolutional Neural Networks, Git, Pandas, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, Feature Extraction, Intelligent Document Processing, Docker, Unsupervised Learning, Pose Estimation, Data Generation
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/bd0538fd-70cc-4d7c-816c-63a15b3c89e4/computer-vision-researcher

## About the Role

* Master's or Ph.D. in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Electrical Engineering, or a related field.
 * 3 years of experience in computer vision research or applied machine learning.
 * Strong understanding of:
 + Image Processing
 + Deep Learning
 + Convolutional Neural Networks (CNNs)
 + Vision Transformers (ViTs)
 + Object Detection
 + Image Segmentation
 + Feature Extraction
 + Representation Learning
 + Self-Supervised Learning
 * Proficiency in Python.
 * Hands-on experience with PyTorch or TensorFlow.
 * Experience with computer vision libraries such as OpenCV, Detectron2, MMDetection, Ultralytics YOLO, or OpenMMLab.
 * Strong understanding of model evaluation metrics, including mAP, IoU, precision, recall, and F1-score.
 * Experience with GPU acceleration, distributed training, and model optimization.
 * Familiarity with Git, Docker, Linux, and cloud platforms (AWS, Azure, or Google Cloud)., * Experience with vision foundation models such as Segment Anything Model (SAM), DINOv2, CLIP, Florence, or Grounding DINO.
 * Experience with OCR, document AI, medical imaging, satellite imagery, autonomous driving, robotics, or industrial inspection.
 * Knowledge of 3D computer vision, depth estimation, point cloud processing, SLAM, or neural rendering.
 * Experience with generative AI models for image synthesis and editing.
 * Publications in leading AI conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, or WACV.
 * Contributions to open-source computer vision projects.

Technical Skills

 * Python
 * PyTorch / TensorFlow
 * OpenCV
 * Detectron2
 * MMDetection
 * Ultralytics YOLO
 * Hugging Face Transformers
 * CUDA
 * DeepSpeed
 * NumPy
 * Pandas
 * Git
 * Docker
 * Kubernetes (preferred)
 * Linux
 * SQL
 * AWS / Azure / Google Cloud

Soft Skills

 * Strong analytical and research skills.
 * Excellent problem-solving and debugging abilities.
 * Effective communication and technical documentation skills.
 * Ability to collaborate with cross-functional teams.
 * Curiosity, innovation, and a passion for advancing computer vision research.

Nice to Have

 * Experience with multimodal AI and vision-language models.
 * Familiarity with large language models (LLMs) and retrieval-augmented generation (RAG).
 * Experience with MLOps, model deployment, and CI/CD pipelines.
 * Knowledge of reinforcement learning for vision-based decision-making.
 * Experience with synthetic data generation and simulation environments.

## Description

We are seeking a highly skilled Computer Vision Researcher to develop cutting-edge computer vision and deep learning solutions for real-world applications. The ideal candidate will have strong expertise in image processing, deep learning, vision transformers, object detection, image segmentation, and generative vision models. You will conduct research, build state-of-the-art models, and collaborate with engineering teams to deploy scalable computer vision solutions., * Conduct research and develop advanced computer vision algorithms for image and video understanding.

 * Design, implement, and optimize deep learning models for tasks such as image classification, object detection, semantic and instance segmentation, pose estimation, optical character recognition (OCR), tracking, and video analytics.
 * Develop and fine-tune vision foundation models, vision transformers (ViTs), and multimodal vision-language models for domain-specific applications.
 * Build scalable training, evaluation, and inference pipelines for computer vision systems.
 * Work with large-scale image and video datasets, including data collection, annotation, augmentation, and quality assessment.
 * Evaluate model performance using industry-standard benchmarks and metrics, and optimize models for accuracy, latency, and efficiency.
 * Collaborate with machine learning engineers, data scientists, software engineers, and product teams to transition research into production.
 * Stay up to date with the latest advancements in computer vision, deep learning, and generative AI by reviewing research publications and implementing relevant techniques.