Lead AI/ML Engineer

Innovation at its Best: Join our Forward-Thinking Company At CableLabs we wake up every day to invent the future. CableLabs is a global, award-winning innovation and R&D lab dedicated to keeping people connected by building and orchestrating emergent technology and igniting co-innovation today for the broadband of tomorrow.The Lead AI/ML Engineer position resides in the Future Infrastructure Group at CableLabs. This department drives research and development activities focused on future access network technologies and virtualized infrastructure. Our team plays a crucial role in delivering software and infrastructure innovations that benefit the cable industry, with particular emphasis on Network Evolution, Platform Evolution, Reliability & Experience, and Differentiated Services.Why This Role Is ExcitingCableLabs is seeking a Lead AI/ML Engineer to help define and build the next generation of intelligent broadband networks. This role will focus on architecting and developing AI-driven systems that enable real-time intelligence across broadband networks. You will work at the intersection of artificial intelligence, machine learning, software engineering, and network infrastructure, designing systems that transform network components into intelligent, data-driven platforms capable of detecting, analyzing, and resolving impairments in real time. You will help shape the architecture and implementation of advanced AI solutions that span the edge, access network, and cloud, while working closely with software engineers, network architects, and industry partners to bring innovative concepts into production-ready reference implementations.We are looking for an AI/ML Engineer who is skilled in:AI interoperabilityModel Context Protocol (MCP)Agentic workflows, embodied AI, and session automation.What You’ll DoStay abreast of emerging AI and ML technologies, new releases, industry trends, and research developments.Lead the design and development of AI/ML architectures and reference implementations for intelligent broadband networksDevelop and deploy machine learning models that analyze telemetry, identify anomalies, predict impairments, and drive automated resolution workflowsDesign AI systems that correlate application KPIs with network telemetry to enable closed-loop automation and Quality by Design capabilitiesBuild and integrate LLM-based systems, agentic workflows, and AI interoperability frameworks leveraging MCP and emerging industry standardsCreate data pipelines to ingest, process, and analyze large-scale, real-time telemetry from network, application, and edge environmentsDevelop AI solutions that are designed to operate across distributed edge and cloud environments, including CPE, access nodes, core platforms, and virtualized infrastructureCollaborate with cross-functional teams to prototype embodied AI and intelligent automation capabilities across broadband networksContribute to the development of APIs, frameworks, and models that support federated developer platforms and Network-as-a-Service capabilitiesEvaluate and apply advanced AI techniques, including supervised learning, unsupervised learning, time-series analysis, causal inference, reinforcement learning, and generative AIEstablish best practices for AI model lifecycle management, including training, validation, deployment, monitoring, and continuous improvementEnsure solutions are scalable, secure, observable, and member adoption readyMentor engineers and provide technical leadership across AI, ML, and software development initiativesQualificationsWhat Is a Must Have7+ years of experience in AI/ML engineering, data science, or related technical roles, with demonstrated technical leadershipStrong experience designing, developing, and deploying AI/ML systems in production environmentsProficiency in Python and experience with modern AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or similarExperience with LLMs, generative AI, agentic workflows, retrieval-augmented generation (RAG), and tool orchestration frameworksExperience building and optimizing machine learning pipelines and real-time inference systemsExperience working with structured and unstructured data, including time-series telemetry and streaming dataStrong understanding of machine learning algorithms, statistics, data structures, system design, and model evaluation techniquesExperience designing and working with databases and data platforms, including SQL, NoSQL, and vector databasesFamiliarity with cloud-native and distributed environments, including containers, Kubernetes, and scalable AI infrastructureExperience integrating APIs and working with service-oriented or microservices-based architecturesExperience with Git workflows (GitLab/GitHub)What Will Set You ApartStrong software development background, including experience building scalable backend systems and distributed platformsProficiency in software development languages such as Go, Rust, C, or TypeScriptExperience with Model Context Protocol (MCP) or similar frameworks for AI interoperability and agent integrationExperience with orchestration frameworks such as LangChain, LangGraph, Ray, CrewAI, or similar technologiesExperience with telemetry, observability, or analytics platforms used in networked or distributed systemsFamiliarity with broadband, telecommunications, DOCSIS, Wi-Fi, mobile, or network infrastructure technologiesExperience processing and analyzing large-scale time-series data for anomaly detection or predictive analyticsExperience developing software reference implementations, APIs, and developer-facing platformsExperience creating technical documentation using AsciiDoc, Mermaid, Markdown, or similar toolsBachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related fieldAt CableLabs You’ll Enjoy Comprehensive Compensation And BenefitsCompensation: The salary range is $135,200 - $165,360. This position is eligible for bonus incentive compensation up to 20% of base salary.Health Benefits: Comprehensive healthcare coverage including medical, dental, vision insurance. Access to flexible spending and health savings accounts with employer HSA contribution.Retirement Benefits: Competitive 401(k) retirement plan with an employer match up to 6% plus an ADDITIONAL 8% contribution to 401(k) which becomes fully vested after only two years of employment.Work-Life Balance: Flexible work arrangements, Unlimited PTO, 11 paid holidays, 100% paid family and medical leave.To learn more and discover additional benefits, read our Employee Benefits Guide.Working Conditions And Physical RequirementsThis job operates in a professional office environment. This role routinely uses standard office equipment. Working conditions for our office typically involve indoor settings, often with a mix of standing, sitting, and walking, along with the use of hands and fingers to operate computer equipment. Office workers also need to communicate through various means, including telephone, email, and in-person discussions, and they may be subject to moderate noise levels from office equipment. Required travel for this role is up to 25% of the time.We understand that the confidence gap and imposter syndrome can make it challenging for exceptional candidates to apply. We encourage you to apply confidently and without hesitation, you may just be the right candidate for this position or similar opportunities. CableLabs is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment decisions are decided on the basis of qualifications, merit, and business need. If you need assistance or accommodation due to a disability, you may contact us at humanresourcesteam@cablelabs.com or 303-661-3307. View our full EEO policy here.