Computer Vision Engineer

About Spacial:

At Spacial, we are dedicated to revolutionizing the construction and design industry by providing an all-in-one platform that bridges the gap between architects, engineers, builders, and homeowners. 

Our mission is to empower industry professionals with the technology they need to streamline project workflows, reduce costs, and enhance productivity. 

By offering a unified solution that covers the entire project lifecycle from design to construction, we ensure seamless communication and execution, making complex projects simpler and more efficient. Join us as we transform the future of construction and design, making it smarter, faster, and more sustainable. 

At Spacial, we are committed to delivering exceptional value and driving innovation in every project we undertake.

Overview:  

We are seeking a highly skilled Computer Vision Engineer to join our dynamic team. The ideal candidate will have a strong theoretical foundation, significant hands-on experience in computer vision and image processing algorithms, and expertise in Python and computer vision libraries. You will work on challenging projects in object detection, segmentation, classification, and tracking, contributing to innovative solutions that impact real-world applications.

You will:

• Design, implement, and optimize computer vision algorithms for object detection, segmentation, classification, and tracking.
• Utilize and integrate state-of-the-art computer vision libraries and tools (e.g., OpenCV, TensorFlow, PyTorch) in production-level applications.
• Develop and maintain robust Python-based pipelines for processing and analyzing visual data.
• Research and evaluate advanced machine learning and deep learning techniques to improve algorithm performance (advantageous).
• Collaborate with cross-functional teams to define requirements and deliver innovative solutions.
• Optimize algorithms for speed and accuracy to meet project requirements in real-time or large-scale systems.
• Stay updated with the latest research and advancements in computer vision and related fields.

You have: 

• M.Sc. / Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent (Ph.D. preferred).
• Strong theoretical foundation in computer vision, image processing, and related mathematical concepts.
• At least 5 years of hands-on experience in developing and deploying computer vision and image processing algorithms.
• Proficiency in Python and its associated libraries for computer vision and machine learning (e.g., OpenCV, NumPy, Scikit-image).
• Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) is an advantage.
• Proven ability to analyze and solve complex technical problems.

Advantages: 

• Knowledge of GPU-based optimization for computer vision tasks.
• Experience with real-time or embedded computer vision systems.
• Familiarity with cloud-based solutions for large-scale data processing.
• Strong communication and teamwork skills to collaborate effectively with diverse teams.

Why Join Us?

• Opportunity to work on cutting-edge projects in computer vision and AI.
• A collaborative and innovative startup environment with direct access to experienced founders.
• Access to the latest tools and technologies in the field.
• Flexible hybrid work arrangement, combining remote work with in-office collaboration.

If you are a motivated and talented Machine Learning Engineer looking to make a significant impact, we would love to hear from you. Apply today and join us in revolutionizing the future of construction and design.