Company Overview ThreeV Technologies, Inc. is an early-stage venture backed startup. We're developing an Inspection Insight Automation Platform to revolutionize asset-heavy sectors like Power & Utilities, Renewables, Public Infrastructure, and Aviation. Our goal is to become the B2B Perplexity AI for the physical world. The ThreeV platform uses frontier AI techniques like customized Large Language Models as well as applying computer vision to drastically improve the end-to-end inspection process. This allows customers to cut Operations & Maintenance costs, streamline inspection decisions, and improve data accuracy to prevent asset failures. Global high-profile safety incidents over recent years underscore the urgent need for our platform, making it not just innovative but essential.
Job Summary We are looking for a highly skilled and innovative Computer Vision Engineer to join our growing team. In this role, you will be reporting to our Lead Data Scientist, working with customer data and synthetic data to train computer vision algorithms on edge cases that have significant real-world implications. Your expertise will be instrumental in advancing our computer vision platform and delivering maximum value to our clients.
Key Responsibilities Design, implement, and deploy computer vision algorithms and systems to drive innovation within our clients' organizations. Develop and optimize computer vision algorithms for applications such as object detection, image segmentation, and image recognition. Expertise in data preprocessing, augmentation, and annotation for computer vision tasks. Train and fine-tune computer vision models, establishing robust evaluation methodologies to assess model accuracy and performance. Deploy computer vision systems into production environments, ensuring scalability, reliability, and optimization for real-time and resource-constrained use cases. Collaborate with software engineers and cross-functional teams to integrate computer vision solutions into customer workflows. Required Qualifications Bachelor's or Master's degree in computer science, computer engineering, electrical engineering, or a related field. High proficiency in programming languages such as Python for algorithm development and scripting. Proficiency in deep learning frameworks and architectures, including CNNs, RNNs, VAEs, GANs, and Transformers. Deep familiarity with computer vision libraries, such as OpenCV, TensorFlow, or PyTorch. Good understanding of data handling, including preprocessing and annotation for computer vision tasks. Knowledge of best practices in computer vision and the ability to troubleshoot and fine-tune models for performance and accuracy. Excellent problem-solving and analytical skills, with a track record of delivering innovative solutions in computer vision. Willingness to collaborate with cross-functional teams and adapt to new tools and techniques. Experience with Cloud Machine Learning in major Cloud Platforms (AWS, Azure, GCP, etc.). Preferred Qualifications Master's or Ph.D. in computer science, computer engineering, or a related field. Experience with model deployment in production environments. Experience or interest in Large Language Models. Proficiency in additional programming languages, such as C/C++ and CUDA for GPU acceleration. Experience A minimum of 5-7 years of experience in computer vision development and research. Education Bachelor's or Master's degree, preferably PhD in computer science, electrical engineering, or a related field. Work Environment ThreeV.ai is a remote-first company, with our primary base in Los Angeles, CA. We support remote work, providing flexibility to our team. We also believe in the value of in-person connections, holding multiple all-hands team offsite meetings each year to foster collaboration and team cohesion.
Application Process Initial Screening Interview Technical Take Home Test Technical Interview Team Interview Final Interview Equal Opportunity Employer Statement ThreeV is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace and encourage applications from candidates of all backgrounds. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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