Top Computer Vision Jobs in NYC, NY

Develop, train, and optimize computer vision and ML models (particularly video-based safety) using petabyte-scale camera and sensor data. Deploy and optimize models for backend and edge inference, collaborate with cross-functional teams, and translate customer needs into scalable ML/CV solutions.

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.

Join Pakket to develop computer vision systems for warehouses, deploying solutions and shaping both product direction and company goals. You'll work hands-on with real-world operations.

Lead design, development, and production deployment of computer vision and ML models. Build scalable data pipelines and deployment infrastructure, debug and monitor model performance, mentor engineers, and collaborate with product, data engineering, and software teams to operationalize ML solutions across business units.

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.

Conduct research and engineering to improve Claude's visual and spatial capabilities across pretraining, SL, and RL. Run experiments on architectures and data strategies, build agentic tools and evaluation benchmarks, develop data ingestion pipelines, and partner with product to deploy vision improvements for real-world API use cases.

Lead product marketing for Ultralytics' AI/computer vision products: own positioning, messaging, and GTM launches; create developer-facing content and sales enablement; partner with engineering, product, growth, and community to drive adoption and measurable outcomes.

The Director of Computer Vision will lead technical vision, research, and execution in developing scalable AI-driven computer vision solutions, managing teams, and enhancing performance metrics.