Computer Vision Engineer

Scanifly Inc.

Job Overview

Location

Indiana, USA

Job Type

Full-time

Full Job Description

📋 Description

• Join Scanifly Inc., a pioneering force in the renewable energy sector, as a remote Computer Vision Engineer based in the UK. At Scanifly, we are revolutionizing the way solar installations are planned and executed through cutting-edge aerial imagery analysis and AI. Our innovative platform empowers solar professionals with unparalleled insights, streamlining the entire process from initial site assessment to final installation. We are a fast-growing company with a strong mission to accelerate the adoption of solar energy globally, and we are looking for passionate individuals to join our dynamic team.
• As a Computer Vision Engineer, you will be at the forefront of developing and deploying advanced computer vision algorithms and machine learning models. Your primary focus will be on extracting critical information from aerial imagery, such as roof structures, shading elements, and other relevant geographical features, to automate and enhance our solar site assessment capabilities. This role offers a unique opportunity to make a significant impact on the efficiency and accuracy of solar energy projects, contributing directly to our company's growth and our overarching goal of a sustainable future.
• You will be instrumental in designing, implementing, and optimizing computer vision pipelines that process vast amounts of image data. This includes tasks such as object detection, semantic segmentation, feature extraction, and 3D reconstruction. Your work will directly influence the core functionalities of the Scanifly platform, enabling faster, more accurate, and more cost-effective solar site surveys for our clients.
• Collaborate closely with our software engineering, product management, and data science teams to translate business requirements into robust technical solutions. You will participate in the entire lifecycle of model development, from data collection and annotation to model training, validation, and deployment. This cross-functional collaboration is key to ensuring our technology remains at the cutting edge and effectively addresses the evolving needs of the solar industry.
• Stay abreast of the latest advancements in computer vision, deep learning, and related fields. Propose and experiment with new techniques and technologies to continuously improve the performance, scalability, and reliability of our computer vision systems. Your curiosity and drive for innovation will be highly valued as we push the boundaries of what's possible in aerial imagery analysis for renewable energy.
• Develop and maintain high-quality, well-documented code, adhering to best practices in software engineering and machine learning operations (MLOps). You will be responsible for ensuring the robustness and efficiency of your solutions, contributing to a scalable and maintainable codebase that supports our growing platform.
• Contribute to the architectural design and technical roadmap of our computer vision capabilities. Provide technical leadership and mentorship to junior engineers, fostering a culture of learning and continuous improvement within the team.
• Analyze and interpret complex datasets to identify patterns, trends, and opportunities for algorithmic improvement. Utilize your expertise to troubleshoot and resolve issues related to model performance and data quality, ensuring the integrity and accuracy of our outputs.
• Work with large-scale datasets, developing efficient data processing and augmentation strategies to enhance model training and generalization. This will involve leveraging cloud computing resources and distributed systems to handle the computational demands of modern computer vision tasks.
• Engage in rigorous testing and validation of computer vision models, employing appropriate metrics and methodologies to assess performance and identify areas for refinement. Your commitment to quality will ensure that our clients receive reliable and actionable insights.
• Participate in code reviews, providing constructive feedback to peers and incorporating feedback into your own work. This collaborative approach is essential for maintaining code quality and fostering knowledge sharing across the engineering team.
• Potentially contribute to research and development efforts, exploring novel applications of computer vision and AI within the solar energy domain. This could involve prototyping new features, evaluating emerging technologies, and contributing to intellectual property development.
• Ensure that all developed solutions are aligned with Scanifly's strategic objectives and contribute to the company's mission of accelerating solar adoption. Your work will have a direct and tangible impact on the growth of the renewable energy sector.

🎯 Requirements

• Proven experience in developing and deploying computer vision algorithms and machine learning models, particularly in areas like object detection, segmentation, and feature extraction.
• Strong proficiency in Python and relevant libraries such as OpenCV, TensorFlow, PyTorch, and scikit-learn.
• Experience with processing and analyzing large-scale image datasets, including data augmentation and preprocessing techniques.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices for model deployment and management.
• Excellent problem-solving skills and the ability to work independently in a remote environment.

🏖️ Benefits

• Competitive salary and stock options package.
• Fully remote working arrangement within the UK.
• Generous annual leave allowance.
• Opportunities for professional development and continuous learning.
• Contribute to a mission-driven company focused on sustainability and renewable energy.

Skills & Technologies

Remote

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Scanifly Inc.

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About Scanifly Inc.

Scanifly provides a cloud-based platform designed to streamline the process of creating accurate 3D models and digital twins of buildings. Leveraging advanced scanning technology, the company enables users to easily capture interior and exterior spaces, transforming raw data into detailed, interactive 3D models. These models are valuable for various industries, including real estate, construction, insurance, and facility management, offering enhanced visualization, measurement capabilities, and collaborative tools. Scanifly aims to simplify complex spatial data capture and analysis, making it accessible and efficient for professionals to improve project planning, documentation, and communication.

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