Top Deep Learning Jobs in Los Angeles, CA

The Machine Learning Engineer will develop advanced Deep Learning technologies for Computer Vision and SAR, focusing on object detection and model generalization. Responsibilities include researching algorithms, applying signal pre-processing, and optimizing model performance.

Develop and productionize deep learning models for computer vision and NLP on medical imaging products. Design and run experiments, document results, collaborate on data labeling, write deployment/docker code, optimize inference speed, and conduct DL methodology research.

The role involves researching, developing, and deploying deep learning models, optimizing machine learning lifecycles, and collaborating with teams to enhance manufacturing applications.

Conduct research and develop algorithms for real-time video processing and deepfake detection, translating machine learning models for production use.

The Senior DL Algorithms Engineer will optimize deep learning models for performance, analyze bottlenecks, and contribute to open-source frameworks while collaborating across teams for AI model development.

Lead the development of deep learning models for email data, optimize models, design evaluation frameworks, integrate products, and mentor junior researchers.

The Senior AI Scientist will develop AI algorithms, improve care quality in radiology using deep learning, mentor junior researchers, and collaborate with multidisciplinary teams.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

The Staff ML Research Scientist will lead research in deep learning for drug discovery, develop innovative models, and integrate them into commercial software. Responsibilities include mentoring junior researchers and contributing to scientific publications.