NBCUniversal

Systems Engineer

• Implement core machine-learning/computer vision and (inverse-)procedural modeling algorithms in C++
• Apply cutting-edge research in machine learning, computer vision, and computer graphics
• Work closely with leadership to understand high-level product vision and customer requirements
• Utilize Git for effective source code management
• Deploy and test code on large scale geospatial datasets
• Interact with remote machines via a Unix shell

Staff Systems Engineer, C++/Python

Full-stack Engineer

• Steward the end-to-end planning, execution, and delivery of the platform-deployed machine learning applications.
• Act as the primary point of contact between the customers and ML engineers, translating technical requirements from different gaming-adjacent domains to Machine Learning.
• Exhibit strong judgement in when to deploy off-the-shelf commercial solutions, customize open-source solutions, or initiate greenfield applied science research projects based on product needs.

Tech Lead

Analytics Engineer

• Assist in the design, development, and maintenance of analytical reporting ETL pipelines and related front-end interfaces (e.g., dashboards), leveraging data languages such as SQL and Python.
• Contribute to the development and execution of QA and UAT protocols, proactively identifying and resolving data quality issues.
• Support training and ongoing support to data users, enabling them to effectively utilize data solutions and tools.
• Collaborate on the development of advanced analytics prototypes to drive strategic initiatives and business outcomes.
• Maintain comprehensive documentation to support scalability and knowledge transfer across the organization.

Product Manager

• Lead product strategy & development for large-scale data platform solutions, supporting petabyte-scale data processing for analytical workloads
• Create & govern common platform for data discovery and enable enterprise cross platform data sharing patterns
• Drive Semantic Modelling and metadata management strategy for BI/AI consumption
• Implement enterprise data governance frameworks ensuring data quality, lineage tracking, privacy compliance (GDPR, CCPA), and security standards
• Prepare data infrastructure for advanced analytics, machine learning, and generative AI applications
• Monitor & Drive user adoption of data platform solutions, own Monthly OKRs to assess success of products
• Use data & insights to inform ongoing product development and find opportunities for efficiency and addressing customer pain points.
• Capture lifecycle for surfacing new features and capabilities from a Sandbox environment for preliminary testing.
• Serve as key point of contact for data technology vendors, representing enterprise-wide business needs and evaluating emerging solutions.
• Conduct comprehensive assessments of data platforms, tools, and services to support build-vs-buy decisions.

Senior Product Manager

Machine Learning Engineer

• Steward the end-to-end planning, execution, and delivery of the data and training infrastructure for the organization.
• Act as the primary point of contact for the team that serves infrastructure to multiple other machine learning teams.
• Own the cloud spend and implement cost-tracking, resource allocation and lifecycle management.
• Service mindset in making the day-to-day of ML engineers smooth, balancing engineering rigor with ease of use.

Tech Lead, ML Infrastructure

Principal

• Lead large-scale, cross-functional strategic programs from initiation through delivery.
• Establish program governance structures, operating models, and executive reporting frameworks.
• Develop and manage integrated program plans, milestones, dependencies, and critical path activities.
• Drive alignment across business, technology, operations, and external stakeholders.
• Translate strategic objectives into executable delivery plans and measurable outcomes.
• Coordinate complex workstreams spanning multiple functions, teams, and vendors.
• Manage program risks, issues, assumptions, dependencies, and mitigation strategies.
• Drive decision-making processes and issue resolution across stakeholder groups.
• Monitor program health and proactively address delivery challenges.
• Build trusted relationships with executive leaders and key stakeholders.
• Prepare and deliver executive communications, status reporting, and decision support materials.
• Influence outcomes across teams where no direct reporting relationships exist.
• Drive readiness planning and organizational alignment for major initiatives.
• Coordinate transition activities required to move programs from planning into operational execution.

Principal Program Lead

• Develop and own the backbone of our machine learning lifecycle, ensuring that data pipelines are automated, reproducible, and highly performant at scale
• Work on enabling seamless model training, deployment, and monitoring across complex, multimodal systems, supporting the evolution of cutting-edge AI/ML applications
• Collaborate with partner ML and Annotation engineers and TPMs to spec out infrastructure and training requirements
• Design and maintain robust CI/CD and CT (Continuous Training) pipelines for complex multimodal models
• Implement versioning and storage strategies for massive 2D/3D datasets to ensure reproducibility and high-throughput access
• Deploy and manage systems for monitoring model performance and data drift in production environments

Staff MLOps Engineer – Ingénieur(e) MLOps expert(e)

• Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python
• Apply cutting-edge research in machine learning and computer graphics to solve real-world problems
• Work closely with cofounders to understand high-level product vision and translate customer requirements into technical milestones
• Interact with remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets
• Use Git to manage source code and modularize complex implementation tasks into manageable, executable components

Senior Deep Learning Engineer

• Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python
• Apply cutting-edge research in machine learning and computer graphics to solve real-world problems
• Work closely with cofounders to translate customer requirements into technical milestones
• Deploy and test code on large-scale geospatial datasets, generating 3D content for customers.
• Use Git to manage source code and modularize implementation tasks into executable components.

Staff Deep Learning Engineer

• joining the backend team to support the digital websites, OTT and applications for our news operations
• The backend team is the powerhouse that all of the front facing products depend on to deliver timely, reliable content
• dabble in API’s - day in and day out
• work with WordPress, PHP, AWS (Lambda, SQS, SNS, S3, EC2) to support all Owned Television Stations digital properties
• Develop, deploy and enhance multiple websites with a PHP-based Content Management System
• Create APIs for consumption by other teams and integrate with numerous external APIs
• Contribute to and support AI-driven initiative, including building features powered by AI services or leveraging AI tools to improve workflows and automation
• Act as a member of a product team supporting teammates and collaborating with a "do what it takes" attitude to ensure product and team success
• Analyze problems and help create innovative solutions involving technology, methodology, tool and solution components
• Ensure product quality and timeliness of work, provide advice and guidance, and resolve problems to meet objectives
• Help develop new and refine existing processes to enhance quality and productivity

News Software Engineer – WordPress

DevOps Engineer

• Responsible for the automation and reliability of NBCU’s Live sources
• 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
• Build automation solutions to deploy and maintain applications, focusing on scalability, reliability and resiliency
• Work on high-visibility projects serving millions of viewers for industry-leading sporting and entertainment events
• Deploy and maintain remote systems across the country and in the Cloud
• Develop Infrastructure as a Code to instantiate/provision cloud resources
• Participate, facilitate, and/or lead large or complex troubleshooting activities that require significant judgment and reasoning outside area of expertise
• Work collaboratively with operations, engineers and vendor to gather requirements and develop solutions
• Analyze current technology utilized within the company and develop steps and processes to improve and expand upon them by evaluating new technology alternatives and vendor products
• Develop robust CI/CD pipelines that integrates security, code quality and automated testing
• Participate in an on-call rotation for L2 support off-hours

Senior Video Streaming DevOps Engineer

Account Executive

• Develops the strategy of the sales territory
• Actively researches and generates new leads
• Builds relationships and drives alignment with key GTM partners
• Creates and delivers face-to-face sales presentations
• Sells with goals of exceeding departmental financial and unit targets
• Maintains and builds customer relationships to drive retention

Account Executive 3, Enterprise Direct Sales – Managed Solutions

Financial Planning and Analysis

• Support the design, administration, modeling, documentation, and governance of sales compensation plans
• Own recurring payout calculations, attainment tracking, and cross-functional coordination for compensation processes
• Analyze seller, team, segment, agency, advertiser, partner and pipeline performance
• Develop recurring reporting and executive-ready analysis for performance drivers

Manager, Sales Performance & Incentives

Sales

• Partner closely with the VP of Americas to build and own the App Marketing + AI customer segment
• Identify highest-potential accounts and prioritize where to win
• Develop a clear go-to-market strategy for the segment
• Activate client targets and develop a qualified pipeline
• Turn early market momentum into durable revenue growth
• Help define how Universal Ads should sell into this customer set

Senior Director, Advertising Sales – Mobile/Tech

Customer Support

• Provides the right experience to customers for billing, repair, retention and sales inquiries or interactions.
• Troubleshoots and resolves technical problems and other general account inquiries in a single customer interaction to create promoters and enhance the customer experience.
• Follows established troubleshooting procedures, including use of appropriate resources and desktop tools.
• Effectively works to build a consultative relationship with the customer to create understanding and resolve all issues.
• Sets clear expectations by providing accurate information and transparent communication.
• Communicates and explains account information to the customer with focus on doing everything in your power to resolve an issue while instilling confidence and trust.