Top Deep Learning Jobs in NYC, NY

Implement deep-learning, computer vision, and inverse-procedural modeling algorithms in Python to convert large 2D/3D geospatial datasets into high-fidelity 3D content. Apply cutting-edge ML and graphics research, coordinate with founders to translate product vision into milestones, deploy and test code on remote Unix systems, and manage source code with Git.

Lead the integration of advanced imaging analytics and AI into drug development, focusing on medical image analysis using deep learning. Collaborate with clinical teams and develop models for disease detection and treatment response assessment.

As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.

Build and ship multimodal AI detection systems. Train large-scale deep learning models to detect AI-generated images and own full lifecycle: data pipelines, training, evaluation, deployment, monitoring, and retraining. Operate production inference and batch systems, design monitoring for drift, and collaborate to translate models into product features and publications.

The role involves optimizing GPU performance for neural reconstruction workflows, analyzing bottlenecks, and collaborating with engineers to enhance training and rendering systems.

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

The role involves conducting deep learning research, building training pipelines, enhancing frameworks, and collaborating with teams to improve trading strategies.

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

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.