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.

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

Design and implement compiler optimizations and infrastructure for deep learning inference. Analyze networks, improve performance and memory, define public APIs, collaborate with framework and hardware teams, and deliver ahead-of-time and just-in-time compilation solutions.

As a Sr. Machine Learning Engineer, you will lead initiatives in biometric identity verification, developing models for face liveness detection, anti-spoofing, and improving robustness against fraud. Responsibilities include designing, training, evaluating deep learning models, optimizing pipelines, and collaborating with cross-functional teams.

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

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 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.

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