NBCUniversal

Machine Learning Engineer

• Build and scale infrastructure for large 2D and 3D media datasets
• Train machine learning models on large multimodal datasets
• Serve as the backbone of the machine learning lifecycle
• Automate, reproduce, and optimize data and training pipelines at scale
• Work with ML and Annotation engineers and technical program managers to define infrastructure and training requirements
• Design and maintain CI/CD and continuous training pipelines for complex multimodal models
• Implement versioning and storage strategies for massive 2D/3D datasets
• Deploy and manage monitoring systems for model performance and data drift in production
• External candidates may be required to attend an in-person interview at an NBCUniversal location before a hiring decision

Staff MLOps Engineer

Security Engineer

• Lead day-to-day program management activities for cybersecurity initiatives
• Drive execution across multiple cybersecurity programs and security functions
• Develop and maintain program plans, dependencies, risks, issues, and executive-level status reporting
• Connect cybersecurity strategy to tactical delivery, define ownership, and ensure understanding of technical dependencies and operational changes
• Lead organizational and operational change management activities
• Manage the program lifecycle from scope definition and stakeholder alignment through execution, readiness, and adoption
• Facilitate discussions, workshops, and decision-making forums
• Define objectives, milestones, success metrics, and reporting mechanisms
• Identify technical risks, operational dependencies, resource constraints, and decision points
• Develop mitigation plans and escalate issues with recommendations
• Partner with cybersecurity leadership, engineering, operations, product, and business stakeholders
• Track actions, deliverables, and accountability across workstreams
• Prepare executive communications, presentations, and program updates
• Assess program processes and implement best practices to improve delivery effectiveness

Senior Program Manager, Cyber Security

Content Creator

• Write original and insightful posts on key sports news and events
• Produce timely, concise fantasy analysis on breaking news, injuries, transactions, and game results for the NBA, MLB, NFL, and other sports
• Provide fantasy analysis for live streams and video on demand
• Brainstorm and pitch creative approaches to content and event coverage
• Collaborate with NBC Sports/Rotoworld writers and contributors to ensure near around-the-clock coverage

Freelance Fantasy Content Creator

QA Automation Engineer

• Design and build internal AI agents and automation workflows using Snowflake Cortex, LangChain, LangGraph, or similar frameworks
• Develop reusable tools, APIs, and components for agentic workflows
• Implement retrieval-augmented generation workflows, context management strategies, and prompt patterns
• Build evaluation harnesses, regression tests, monitoring patterns, metrics, guardrails, and validation for AI-agent behavior
• Move AI workflows from prototype to production-ready systems with engineering and operations teams
• Design, build, and maintain production-grade Python applications, libraries, and services
• Champion object-oriented design, automated testing, CI/CD, code reviews, observability, and documentation
• Create reusable engineering patterns and scalable technical solutions for business needs
• Build reusable Python libraries for clean room audience workflows and measurement use cases
• Abstract analytical and data collaboration workflows into repeatable self-service components
• Enable configurable feature deployment across partners
• Mentor engineers through code reviews, technical design discussions, and operational best practices
• Establish engineering standards for AI-assisted workflows, agentic system design, reusable libraries, and production automation

Senior Software Engineer, Automation Engineering

Operations

• Traffic and monitor campaigns across the ad server
• QC, process and prepare display and video ads for launch
• Partner with sales marketing and site leaders to schedule campaigns for calendar-based sponsorships and events
• Collaborate with external ad vendors to review and test images for various rich media creative types and executions
• Troubleshoot advertisement issues in real time
• Work closely with campaign managers, sales, inventory management, marketing, and product development teams to review, resolve, and respond to inbound requests
• Provide on-call support for RSN, political and tentpole events

Digital Operations Specialist

Solutions Engineer

• Lead the high-level design of systems integrating ML models into the broader product suite
• Design and implement software layers enabling ML models to interact with a real-time rendering engine
• Manage data preprocessing and postprocessing (coprocessing) for high-performance execution
• Evaluate customer requirements and determine whether to use off-the-shelf tools or escalate specialized research initiatives
• Build and maintain wrappers, APIs, and microservices for a flexible, language-agnostic ML stack
• Serve as the primary technical liaison among technical leadership, customers, and the core engineering team
• Define data and integration requirements
• Break complex product visions into modular architectural components
• Ensure ML components ship as part of a stable, scalable software product

ML Solutions Architect

Data Scientist

• Work with partner ML and Annotation engineers and TPMs to specify data and training requirements
• Ensure datasets are correctly curated, filtered, and processed for production-level machine learning
• Translate high-level project goals into actionable data specifications for engineering and annotation teams
• Maintain high standards for data integrity
• Ensure media datasets used for training are representative and accurate
• Manipulate large 2D and 3D media datasets
• Bridge raw data and high-quality machine learning inputs through technical expertise and cross-functional leadership

Senior Data Scientist

• Lead the design and delivery of internal AI agents and automation workflows using Snowflake Cortex, LangChain, LangGraph, or similar frameworks
• Guide reusable tools, APIs, and components for agentic workflows
• Direct retrieval-augmented generation workflows, context management, and prompt patterns
• Establish evaluation harnesses, regression tests, monitoring, metrics, guardrails, and validation for AI-agent reliability
• Partner with engineering and operations teams to move AI workflows from prototype to production
• Oversee production-grade Python applications, libraries, and services
• Champion object-oriented design, modular design, automated testing, CI/CD, code reviews, observability, and documentation
• Collaborate with product, engineering, operations, and data platform teams on scalable technical solutions
• Lead reusable Python libraries supporting clean room audience workflows and measurement use cases
• Abstract analytical and data collaboration workflows into repeatable self-service components
• Enable configurable feature deployment across partners
• Hire, develop, and retain a high-performing software and AI engineering team
• Mentor engineers through code reviews, technical design discussions, and operational best practices
• Establish engineering standards for AI-assisted workflows, agentic systems, reusable libraries, and production automation
• Promote reliability, maintainability, and continuous improvement

Director, Automation Engineering

Application Engineer

• Design, build, and improve application security capabilities supporting secure software development across NBCUniversal
• Build reusable security automations, integrations, APIs, workflows, and developer tools
• Implement secure-by-default golden paths, paved roads, and engineering patterns
• Design and implement scalable security solutions across source code, open source dependencies, containers, cloud-native applications, CI/CD pipelines, infrastructure as code, developer platforms, and software supply chains
• Partner with Cloud Security on application and cloud security capabilities
• Improve vulnerability prioritization, triage, remediation, validation, reporting, and speed to remediation
• Build security patterns and guardrails for AI-assisted development tools, coding assistants, and agentic workflows
• Use automation and AI-enabled techniques to improve vulnerability triage, remediation planning, developer guidance, and workflow efficiency
• Build integrations between application security platforms, GitHub, CI/CD systems, developer portals, ticketing systems, reporting platforms, and other engineering tools
• Create telemetry, dashboards, and reporting pipelines for application risk, coverage, and remediation progress
• Serve as a senior technical expert in application security engineering, secure software development, software supply chain security, and secure AI development
• Partner with architects, platform engineers, cloud security engineers, and development teams to implement technical solutions
• Mentor engineers and improve engineering practices, automation skills, and technical depth

Staff Application Security Engineer

Product Manager

• Assist in defining product requirements and maintaining product roadmaps for data and AI solutions, focusing on technical feasibility and scalability
• Collaborate with engineering teams to design, build, and deliver reliable analytics solutions
• Work with stakeholders across analytics, research, ad sales, programming, and marketing to align product goals with business needs and user workflows
• Support feature and improvement prioritization by balancing business impact with technical complexity
• Validate delivered features by testing functionality, verifying data quality, and ensuring success metrics are met
• Identify opportunities to leverage emerging AI technologies, automation, and data-driven approaches
• Stay informed about the latest tools, frameworks, and technical trends
• Ensure products comply with NBCUniversal data governance, privacy, and security standards

Associate Product Manager

• Implement core deep-learning, computer vision, and inverse-procedural modeling algorithms in Python
• Apply mathematical techniques from linear algebra, probability, and geometry to build systems
• Apply cutting-edge machine learning and computer graphics research to real-world problems
• Work closely with cofounders to understand product vision and translate customer requirements into technical milestones
• Deploy and test code on remote machines via a Unix shell using large-scale geospatial datasets
• Generate 3D content for customers
• Use Git to manage source code
• Modularize complex implementation tasks into manageable, executable components

Staff Deep Learning Engineer

Full-stack Engineer

• Develop firmware for XM4, Blackbird, and BigBuddy initiatives
• Participate in the Firmware Guild to promote best practices and team cohesion
• Collaborate with PES, mobile, QA, and cloud teams for integration
• Mentor junior engineers and support onboarding of new engineers
• Drive CI/CD pipeline improvements and firmware standardization
• Refine and estimate deliverables with engineering, product, and user experience teams
• Design and implement APIs, backend services, front-end components, and automation tasks
• Build scalable, highly available cloud-hosted applications with robust security features
• Develop tools for rapid incident mitigation and reusable web components
• Architect self-contained microservices or APIs using content management systems and global design patterns
• Define product and technical requirements with cross-functional teams and align them with business goals
• Drive best practices in code health, testing, and maintainability
• Analyze system performance, troubleshoot issues, incorporate feedback, and deliver quality software solutions
• Exercise independent judgment and discretion in significant matters
• Perform other assigned duties and responsibilities

Senior Full Stack Developer

Consultant

• Oversee an efficient and effective candidate hiring process across interview, offer letter, and pre-employment stages
• Liaise between candidates, business partners, and hiring teams throughout interview and pre-boarding
• Promote a positive and inclusive culture through each candidate touchpoint
• Resolve complex stakeholder and candidate inquiries with innovative solutions
• Advise candidates and hiring managers on their needs and interactions
• Drive operational outcomes and positive change across processes and systems
• Manage a large volume of tasks while maintaining focus and quality control
• Use CRM technology to facilitate communication, enhance service delivery, and resolve issues
• Evaluate workflows and recommend operational and process improvements
• Maintain systems and data integrity throughout the hiring process
• Ensure regulatory and company-specific compliance, reporting, and documentation accuracy
• Support special projects involving process optimization and candidate experience enhancements
• Collaborate with HR, hiring managers, senior leadership, and cross-functional teams

HRSD Consultant

Account Executive

• Create and deliver face-to-face sales presentations demonstrating knowledge of Comcast products and services
• Promote bundled products and identify optimal customer solutions
• Exceed departmental, financial, and unit sales targets
• Monitor the competitive landscape and emerging technologies
• Generate leads through cold calling, canvassing, customer referrals, and partner relationships
• Develop the sales territory through local business partnerships and organizational affiliations
• Retain customers by delivering on the Comcast Credo and ensuring a superior customer experience
• Build customer relationships and coordinate with internal teams to meet service levels and operational expectations
• Prepare sales and activity reports
• Participate in regular out-of-the-office customer meetings
• Present, persuade, and negotiate with customers
• Exercise independent judgment and discretion in significant matters
• Maintain regular, consistent, and punctual attendance
• Work nights, weekends, variable schedules, and overtime as necessary
• Perform other assigned duties and responsibilities

Account Executive, SMB

AI Engineer

• Design, develop, and deploy advanced analytics and data exploitation solutions for DataBee’s SaaS security, risk, and compliance platform
• Extract knowledge and insights from high-volume, high-dimensional data using data preparation, modeling, analysis, and visualization
• Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate disparate datasets
• Analyze large datasets using statistical analysis, data mining, optimization, machine learning, and statistical techniques
• Develop and execute statistical and mathematical solutions to business problems
• Create data mining architectures, models, protocols, statistical reporting, and data analysis methodologies
• Analyze historical customer behavior and product performance patterns
• Develop and deploy predictive models for future customer behavior
• Produce analysis deliverables and presentations reporting methodology and results
• Develop customer-centric models and optimization tools for streaming and at-rest structured and unstructured data
• Understand platform usage and assist with production deployments and customer issue triage
• Develop security features and adopt DevSecOps practices
• Identify and mitigate production incidents
• Build reusable software components, libraries, microservices, and APIs
• Apply content management systems, global design patterns, and team coding standards
• Provide technical direction, architectural guidance, subject matter expertise, and mentorship within a globally distributed engineering team