Top Computer Vision Jobs in NYC, NY

Design and implement high-performance C++ systems for machine learning, computer vision, and 3D modeling. Apply research, optimize algorithms, manage source control with Git, deploy and test on cloud using Unix-based systems, and work with large-scale geospatial datasets to generate 3D content.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

The role involves designing, building, and deploying computer vision models for vehicle damage detection, covering the entire ML lifecycle and collaborating across teams.

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.

Lead development of predictive maintenance systems using computer vision, integrating multiple data sources to optimize equipment life and availability.

Design and train state-of-the-art 3D hand pose, dense mesh, and articulation models from scratch. Scale multi-view and temporal architectures on multi-GPU clusters, innovate losses enforcing biomechanics and temporal/physical plausibility, and build robust egocentric hand-object interaction models. Rapidly prototype solutions for tactile-visual fusion, action segmentation, and sensor integration, and integrate tracking outputs into physics-aware pipelines for downstream robotic control.

As an AI Vision Solution Architect, you will architect AI-powered solutions, manage projects, collaborate with teams, and build customer relationships to enhance AI vision products.

The Computer Vision AI Engineer will develop and maintain computer vision algorithms for various systems, optimizing performance and analytics, specifically involving robots and autonomous hardware.