Computer Vision Engineer

📋 Description

• • Join Scanifly Inc. as a Computer Vision Engineer and play a pivotal role in advancing our mission to drive the clean energy transition through cutting-edge reality capture, 3D modeling, cloud computing, and AI technologies.
• • In this fully remote position, you will leverage your expertise to develop and implement sophisticated computer vision solutions that are integral to our platform's success, empowering contractors globally to streamline the entire lifecycle of home electrification projects.
• • You will be instrumental in enhancing the accuracy, efficiency, and worker safety of these projects, contributing directly to a more resilient and independent energy system.
• • Your primary responsibilities will involve the professional development of computer vision algorithms and models for real-world applications, pushing the boundaries of what's possible in reality capture and 3D modeling.
• • You will be expected to work proficiently in Python and C++, utilizing key frameworks such as OpenCV and PyTorch to build and deploy robust solutions.
• • A deep understanding of foundational AI models for computer vision is crucial, with a strong emphasis on Object Detection, Semantic Instance Segmentation, and Splats.
• • You will gain hands-on experience training AI models using custom datasets, requiring meticulous data preparation, augmentation, and validation to ensure optimal performance.
• • Familiarity with advanced computer vision techniques such as Structure-from-Motion (SfM), 3D Reconstruction, and Photogrammetry will be essential for creating accurate and detailed 3D models from image data.
• • You will also work with Pointcloud and Mesh Processing, manipulating and analyzing 3D data to extract meaningful insights and build complex representations.
• • A working knowledge of Geospatial Data and Visual-Inertial SLAM (Simultaneous Localization and Mapping) will be beneficial as you integrate our solutions with real-world spatial information.
• • Experience in deploying applications on cloud platforms is highly desirable, enabling scalable and accessible solutions for our users.
• • You will contribute to the development and maintenance of our microservice architecture, ensuring seamless integration and efficient operation of our AI-powered features through well-defined APIs.
• • Familiarity with NoSQL databases will be advantageous for managing the large and complex datasets generated by our reality capture processes.
• • This role requires a self-starter mentality, resilience in the face of challenges, and a strong sense of accountability, embodying our team-first ethos.
• • You will collaborate closely with our UK-based team, requiring availability during EST working hours to ensure effective communication and project alignment.
• • Scanifly fosters a culture of relentless collaboration, where your contributions are valued, and you'll work alongside passionate individuals dedicated to innovation and problem-solving.
• • We believe in a people-first ethos, prioritizing your well-being and professional growth.
• • You will be part of a mission-driven company that is making a tangible impact on the environment by accelerating the adoption of clean energy solutions.
• • This is an opportunity to work in a fast-paced environment, where your passion, proactiveness, and team-first attitude will be key to our collective success.
• • We are looking for individuals who are not just looking for a job, but for a chance to build something that truly matters and contributes to a sustainable future.
• • Your work will directly influence the tools and technologies that enable the global transition to clean energy, making this a highly rewarding and impactful career move.
• • You will be encouraged to innovate and find novel solutions to complex problems, contributing to Scanifly's position at the forefront of technological advancement in the energy sector.