Top AI & Machine Learning Jobs in New York City, NY

Lead deployment of AI and automation across Global Media Operations: identify use cases, translate requirements, deliver solutions, manage rollouts, train users, measure adoption, and partner with product, engineering, vendors, and enterprise AI governance.

Lead implementation of AI and automation across Global Media Operations: identify/prioritize use cases, translate requirements, deliver end-to-end solutions, run operational rollouts (SOPs, training, adoption), partner with Product/Engineering and vendors, and liaise with Enterprise AI to scale secure, governed AI capabilities supporting 24x7 operations.

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

Lead AI implementation across Global Media Operations: identify and prioritize automation opportunities, define AI strategy and reference architecture, build agents and workflows, manage end-to-end delivery and operational rollout, drive adoption and governance, and partner cross-functionally and with vendors.

Lead implementation and rollout of AI and automation across Global Media Operations: identify opportunities, build reference architectures and agents, manage delivery, drive adoption, and partner cross-functionally and with vendors.

Lead and grow a team of ML engineers building applications for a graphically intensive simulation platform. Manage stakeholders, translate customer needs into technical requirements, prioritize between off-the-shelf, open-source, and greenfield solutions, coordinate cross-functional delivery, and oversee the full ML lifecycle from data infrastructure to deployment. Foster team ways of working and performance.

Lead end-to-end product development for Medallion data products and AI agentic workflows. Prototype and build AI capabilities alongside engineering, manage 2-3 business unit engagements, define roadmaps, prioritize reusable solutions, track adoption metrics, and drive cross-functional standards for data governance and responsible AI.

Build and scale infrastructure for large 2D/3D media datasets; design CI/CD and continuous training pipelines for multimodal models; implement data versioning and storage for reproducibility and high-throughput access; deploy monitoring and observability systems; coordinate cross-functionally with ML, annotation engineers, and TPMs.