Machine Perception Engineer
4 days ago
We're seeking a highly skilled Machine Perception Engineer to join our team at Unreal Gigs. As a key member of our engineering team, you'll be responsible for designing, implementing, and optimizing computer vision systems that power transformative applications across various industries.
Job Description
- Develop Computer Vision Algorithms
- ">Design and implement advanced computer vision algorithms for tasks such as object detection, facial recognition, image segmentation, and motion tracking. You'll work with frameworks like OpenCV, TensorFlow, PyTorch, or YOLO to build scalable vision systems.">
- Build and Train Deep Learning Models
- ">Create and train deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to solve complex computer vision problems. You'll experiment with architectures like ResNet, VGG, and EfficientNet to optimize performance.">
- Image and Video Processing
- ">Develop solutions for processing and analyzing large volumes of visual data from images and videos. You'll build real-time video analytics systems, work on edge computing applications, and optimize image processing workflows for performance and scalability.">
- Data Annotation and Preprocessing
- ">Prepare and preprocess datasets for training and evaluation. You'll perform data augmentation, image normalization, and labeling to create high-quality datasets that improve model accuracy and robustness.">
- Deploy Computer Vision Models in Production
- ">Collaborate with software engineers and DevOps teams to deploy computer vision models into production environments. You'll use tools like Docker and Kubernetes to ensure that models are scalable, efficient, and integrated into real-world applications.">
- Experiment with Emerging Technologies
- ">Stay up-to-date with the latest advancements in computer vision, deep learning, and AI. You'll explore cutting-edge technologies such as generative adversarial networks (GANs), 3D vision, augmented reality (AR), and edge AI to push the boundaries of innovation.">
- Expertise in Computer Vision
- ">You have expertise in computer vision techniques, including image classification, object detection, image segmentation, and feature extraction. You're experienced with libraries and frameworks like OpenCV, TensorFlow, PyTorch, or Keras.">
- Proficiency in Deep Learning
- ">You're proficient in deep learning techniques, particularly in convolutional neural networks (CNNs), RNNs, and transfer learning. You have experience building and optimizing models using architectures such as ResNet, VGG, or YOLO.">
- Software Development Skills
- ">You're proficient in Python, C++, or a similar programming language, with experience writing production-level code. You can build, test, and deploy computer vision models efficiently.">
- Model Deployment Experience
- ">You have experience deploying machine learning models into production environments using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker. You understand how to optimize models for real-time performance.">
- Data Handling Expertise
- ">You have hands-on experience with data annotation, augmentation, and preprocessing. You know how to work with large datasets and prepare them for training deep learning models.">
We offer an estimated annual salary of $120,000 - $150,000, commensurate with experience. This is a competitive package that includes comprehensive benefits and opportunities for professional growth and development.
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