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Staff Computer Vision/AI Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of . BrightAI. . We are currently looking for a . Staff Computer Vision/AI Engineer. in the . United States. .. This senior engineering role offers an exciting opportunity to lead the development of state-of-the-art computer vision and AI systems that power real-time decision-making across diverse devices and services. You will work on cutting-edge research and production-level machine learning models focused on visual, spatial, and temporal data. Collaborating closely with cross-functional teams, you will help architect scalable, robust AI platforms that transform how physical infrastructure industries operate. This role suits a highly experienced engineer passionate about innovation, complex problem solving, and deploying impactful AI solutions at scale.. . Accountabilities:. . Lead the end-to-end lifecycle of computer vision and machine learning models, from data collection and labeling through production deployment and monitoring.. . Research, design, and implement deep learning models for tasks such as detection, segmentation, classification, tracking, and real-time inference.. . Drive projects from prototyping to production, aligning with product goals and platform requirements.. . Collaborate with product, hardware, and cloud teams to deliver integrated, intelligent AI features.. . Architect scalable, reliable AI systems that solve complex real-world challenges.. . Prioritize and manage multiple initiatives to optimize model performance, reliability, and compliance.. . Stay abreast of the latest AI/ML advancements and incorporate relevant innovations into the product roadmap.. . . 7+ years of professional experience in computer vision and machine learning with deep expertise in applied deep learning.. . Proven track record delivering production-grade AI/ML solutions in fast-paced environments.. . Comprehensive experience across the ML development lifecycle, including data curation, model training, evaluation, optimization, and deployment.. . Proficiency in deep learning frameworks such as PyTorch or TensorFlow and strong programming skills in Python; C++ is a plus.. . Hands-on experience with CNNs, YOLO, Vision Transformers, model compression techniques, and real-time inference optimization.. . Experience deploying models on cloud platforms (AWS, GCP, Azure) and edge devices using tools like TensorRT, ONNX, or TFLite.. . Strong analytical and problem-solving skills with the ability to translate ambiguity into actionable solutions.. . Excellent teamwork and communication skills to work cross-functionally with software, hardware, and product teams.. . PhD in Electrical Engineering, Computer Science, or related field, with demonstrated research excellence in computer vision.. . Company Location: United States.