We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision and computer graphics, helping us turn high dimensional data into high-fidelity content. Key Responsibilities Algorithm Implementation: Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python. You will rely on mathematical techniques from linear algebra, probability, and geometry to build these systems.

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision and computer graphics, helping us turn high dimensional data into high-fidelity content. Key Responsibilities Algorithm Implementation: Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python. You will rely on mathematical techniques from linear algebra, probability, and geometry to build these systems.

We are seeking a Staff MLOps Engineer with experience building and scaling infrastructure for large 2D and 3D media datasets. You will be responsible for the "backbone" of our machine learning lifecycle, ensuring that our data pipelines are automated, reproducible, and performant at scale. Key Responsibilities Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out infrastructure and training requirements. Pipeline Automation: Design and maintain robust CI/CD and CT (Continuous Training) pipelines for complex multimodal models.

NBCU’s Distribution engineering is responsible for the automation and reliability of NBCU’s Live sources. Reasonable for the delivery of 200+ NBC and Telemundo stations and Cable networks, and live events like sports, news and entertainment content to third party providers and Peacock. NBCU’s Distribution Engineering is looking to add a talented junior DevOps Engineer to be part of our Video Streaming team to build automation solutions to deploy and maintain applications, focusing on scalability, reliability and resiliency.

In this role, you will drive geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities, and for building geospatial data automation and tooling in an AI/ML pipeline for new applications. In this role, you’ll research and gather data for specific regions from different sources, including imagery and other raster data, vector data, and point clouds. You will find and acquire data from free/public domain sources, as well as form and drive partnerships with commercial data providers.

In this role, you will contribute to driving geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities, and for building geospatial data automation and tooling in an AI/ML pipeline for new applications. In this role, you’ll research and gather data for specific regions from different sources, including imagery and other raster data, vector data, and point clouds.

The Principal Program Lead is a senior individual contributor responsible for leading the organization’s most complex, high-visibility strategic programs. Working across business, technology, operations, and external partners, this role drives alignment, governance, execution, risk management, and delivery of initiatives that are critical to organizational success. Principal Program Leads are deployed against the company’s highest-priority strategic initiatives and may move between programs over time based on business needs and portfolio priorities.

In this role, you’ll create software that automatically generates 3D environments or objects. Instead of random designs, your software will use real-world data, such as maps or object details, to make these environments look more realistic. The output from your work will be compatible with popular 3D platforms like Unreal and Unity, or as standalone 3D models. You’ll work closely with the Pipeline and AI/ML teams to plan and improve the way this 3D data flows through our production process, helping it fit well with game environments.

In this role, you’ll create software that automatically generates 3D environments or objects. Instead of random designs, your software will use real-world data, such as maps or object details, to make these environments look more realistic. The output from your work will be compatible with popular 3D platforms like Unreal and Unity, or as standalone 3D models. You’ll work closely with the Pipeline and AI/ML teams to plan and improve the way this 3D data flows through our production process, helping it fit well with game environments.

As an Enterprise Architect for Builder Enablement, your role is to bring clarity and coherence to a complex, evolving technology ecosystem. You will be a founding member of the Builder Enablement team at the intersection of architecture, engineering, and enablement - developing and maintaining a shared view of enterprise infrastructure, services, and patterns—mapping how they fit together today and where they’re going. You’ll work across teams to crystallize architectural principles, surface gaps and overlaps, and help the organization understand its technology as a cohesive system.