Top Computer Vision Jobs in Los Angeles, CA

As a Senior Machine Learning Engineer, you will develop computer vision models for vehicle damage detection, managing the entire ML lifecycle from dataset creation to deployment in production environments.

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 integrate vision and audio models into agent reasoning loops, optimize streaming latency for voice-to-voice interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs.

The role involves developing, adapting, and implementing machine learning algorithms for computer vision tasks in power grid analysis. Responsibilities include experimentation, error analysis, and project ownership.

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.

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.

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.

Early-stage founding-engineer hire to build and scale Safari AI's computer vision platform: lead product development, design data pipelines, deploy reliable cloud services, deliver incremental features, maintain production reliability, and ensure SDLC and security best practices while engaging enterprise customers.