Computer Vision Research Engineer

Job Description:

We are looking for a talented Computer Vision Research Engineer to join our team and contribute to the development of innovative AI-powered solutions. In this role, you will work on sophisticated applications requiring state-of-the-art expertise in machine vision, deep learning, and neural network architectures. This position offers an opportunity to work on challenging problems involving object recognition, occlusion handling, and 3D modeling in real-world scenarios.

About Us:
Altametrics provides a comprehensive product line of enterprise software and professional services catering to the needs of various departments and executive management of corporate clients. Our cloud-based software solutions are designed for quick deployment, scalability, reliability, and availability. We offer industry-leading consulting, professional services, development, engineering, training, and support.

Responsibilities:

• Design and implement advanced computer vision and machine learning models tailored to real-world challenges.
• Build and optimize pipelines for object detection, classification, and occlusion prediction using frameworks like TensorFlow and PyTorch.
• Research and apply cutting-edge techniques such as Convolutional Neural Networks (CNNs), Neural Radiance Fields (NeRF), and 3D reconstruction.
• Handle image processing, segmentation, and feature extraction for large datasets.
• Collaborate with cross-functional teams to integrate computer vision models into scalable applications.
• Continuously improve models through iterative testing and refinement based on user feedback and performance metrics.
• Document and present findings, methodologies, and recommendations effectively to team members and stakeholders.

Requirements:

• Educational Background: Bachelors, Masters, or PhD in Computer Vision, Machine Learning, Artificial Intelligence, Data Science, or related fields.
• Experience: Minimum 3 years of professional experience in computer vision or machine learning.
• Research: First-author publications in high-impact academic or industry journals.
• Technical Skills: Proficiency in TensorFlow, Keras, and PyTorch.
• Strong understanding of deep learning architectures, including CNNs and transformers.
• Familiarity with occlusion handling techniques.
• Experience in developing and deploying machine learning models in real-world applications.
• Proficiency in programming languages like Python and C++.
• Solid grasp of image processing libraries such as OpenCV.
• Preferred Skills: Experience with object detection models (YOLO, Faster R-CNN) and real-time inference optimization.

Salary: $50-60k USD annual

Work Schedule: Pacific Time Zone