We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets. This role is centered on bridging the gap between raw data and high-quality machine learning inputs, requiring a blend of technical expertise and cross-functional leadership. Key Responsibilities Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements.

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.

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.

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.

As a Staff Engineer on the Builder Enablement team, your mission is to make the right way the easy way. You will be a founding member of the Builder Enablement team at the intersection of architecture, engineering, and enablement - identifying common design and implementation needs across Enterprise Engineering and turn them into paved paths, clear, reusable solutions that reduce friction and accelerate time-to-value.

The Data & Analytics (D&A) team at NBCUniversal is looking for a passionate problem solver who will be an outstanding addition to our team. As the Principal Engineer, you'll be driving the overall delivery and support of data and AI applications including designing and building net new while also enhancing the existing tech stack. You will be responsible for multiple systems that support the analytics needs of various stakeholders.

The Corporate Operations & Technology Engineering Team is seeking a Principal System Architect, SAP Success Factors. We are currently undergoing a HR transformation that includes a green field implementation of SAP Success Factors Employee Central. This is a high-level strategic leadership role responsible for designing robust, scalable, and secure end-to-end SAP solutions that align with business goals. The role will drive technology strategy, establish architectural governance, guide digital transformation, and ensure "clean core" principles.