Top Computer Vision Jobs in Los Angeles, CA

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

Design, train, test, and deploy computer vision and sensor-fusion models for real-time missile warning and target tracking. Optimize performance with GPU programming, contribute to embedded and fire control systems, and collaborate across multidisciplinary teams to deliver space-focused AI solutions.

Design and implement ML pipelines that encode visual inputs (pose, face, objects) into shared embeddings. Build and fine-tune CNN and transformer models, perform training, evaluation, augmentation, and hyperparameter tuning. Apply similarity metrics and clustering for behavioral inference and action prediction. Collaborate with cross-functional engineers and produce documented, version-controlled code and model artifacts.

Lead computer vision model development and deployment, architect scalable pipelines, integrate hardware with AI monitoring, and ensure efficient manufacturing processes.

Lead and execute perception R&D and engineering for factory robots: define multi-year roadmap, architect perception pipelines (detection, segmentation, 6-DoF pose, scene understanding), drive sensor fusion and calibration, establish data/model workflows and deployment practices, integrate with planning/control, hire and mentor engineers, and evaluate research for production adoption.

As a Computer Vision Applied Research Scientist, you'll design novel architectures for understanding construction drawings, conduct end-to-end experiments, and transition models to production. You'll collaborate with others to improve accuracy and address real-world issues in AI applications for construction.

Lead design and delivery of an egocentric video data product: capture rigs, edge processing, dataset pipelines, VLM-assisted annotation, and production-ready perception models (detection, tracking, segmentation, depth/3D reconstruction, and 6DoF pose estimation). Operate and scale warehouse capture programs and own model training, evaluation, optimization, and deployment.

Lead research, design, and production implementation of computer vision and ML solutions. Define architectures, run experiments, own model lifecycle (data, training, evaluation, deployment), optimize inference, set MLOps standards, mentor engineers, and collaborate with product and engineering teams to deliver production-quality CV features.

Design, implement, test, and maintain scalable C++ software for autonomous vehicle and perception systems. Work across full SDLC, support vehicle testing, simulation-based regression, data acquisition/analysis from remote vehicles, root-cause analysis, and mentor engineers while collaborating with ML researchers and cross-functional teams.