Top Computer Vision Jobs in Los Angeles, CA

Lead UI/UX engineering for cloud-enabled AI/ML mission systems supporting maneuver, surveillance, and engagement. Design and prototype interfaces (computer vision, sensor fusion, dashboards), test and evaluate performance on operational datasets, analyze results, optimize for robustness and cyber resilience, troubleshoot deployed systems, produce technical documentation, and mentor team members while liaising with government stakeholders.

Remote entry-level Computer Vision Engineer to fetch and preprocess unstructured data, build image/video pipelines with OpenCV/scikit-image/Pillow, and develop deep learning models (TensorFlow/PyTorch) including CNNs, RNNs and autoencoders for real-world applications. Work as an individual contributor on product development within a lean team and collaborate with data scientists.

Lead the development of AI-driven OCR and Image Recognition solutions, focusing on innovation, strategy, and team management in the retail sector.

Develop novel machine learning methods to enhance computer vision solutions, identify areas for innovation, and translate research into scalable production systems.

Design and implement high-fidelity spatial mapping and real-time object recognition pipelines. Integrate vision systems with robotic manipulation and navigation controls. Train and fine-tune Vision-Language-Action models and work with multimodal spatial AI frameworks and robotic hardware.

Join an R&D team to develop image-processing and computer-vision algorithms for 2D/3D scene segmentation, design experiments to detect long-tail model failures, and explore deep learning models and active learning methods to improve autonomous robotic vision systems.

The Machine Learning Engineer will develop editable visuals combining computer vision and machine learning, enabling chat-driven figure editing and leveraging biological understanding to produce accurate visuals.

Lead and execute the production photogrammetry pipeline: design, build, train, and deploy 3D reconstruction systems at scale. Drive technical direction, optimize for speed and robustness, own observability and CI/CD, mentor engineers, integrate foundation 3D models and agentic AI tooling, and translate strategic goals into shipped work.

Annotate images and video for computer vision using bounding boxes, polygons, segmentation masks, and SKU-level labels. Audit model predictions, enforce annotation quality, identify hardware/software capture issues, and collaborate with ML, hardware, and product teams to validate fixes and improve data pipelines.

The Computer Vision Researcher will develop and deploy advanced computer vision models, ensuring full lifecycle management, collaborating with teams, and driving research initiatives for player tracking.