Lead AIML 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 Exciting

CableLabs 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 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 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 interoperability
• Model Context Protocol (MCP)
• Agentic workflows embodied AI and session automation.

What Youll Do

• Stay 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 networks
• Develop and deploy machine learning models that analyze telemetry identify anomalies predict impairments and drive automated resolution workflows
• Design AI systems that correlate application KPIs with network telemetry to enable closed-loop automation and Quality by Design capabilities
• Build and integrate LLM-based systems agentic workflows and AI interoperability frameworks leveraging MCP and emerging industry standards
• Create data pipelines to ingest process and analyze large-scale real-time telemetry from network application and edge environments
• Develop AI solutions that are designed to operate across distributed edge and cloud environments including CPE access nodes core platforms and virtualized infrastructure
• Collaborate with cross-functional teams to prototype embodied AI and intelligent automation capabilities across broadband networks
• Contribute to the development of APIs frameworks and models that support federated developer platforms and Network-as-a-Service capabilities
• Evaluate and apply advanced AI techniques including supervised learning unsupervised learning time-series analysis causal inference reinforcement learning and generative AI
• Establish best practices for AI model lifecycle management including training validation deployment monitoring and continuous improvement
• Ensure solutions are scalable secure observable and member adoption ready
• Mentor engineers and provide technical leadership across AI ML and software development initiatives

What Is a Must Have

• 7 years of experience in AI/ML engineering data science or related technical roles with demonstrated technical leadership
• Strong experience designing developing and deploying AI/ML systems in production environments
• Proficiency in Python and experience with modern AI/ML frameworks such as PyTorch TensorFlow Scikit-learn or similar
• Experience with LLMs generative AI agentic workflows retrieval-augmented generation (RAG) and tool orchestration frameworks
• Experience building and optimizing machine learning pipelines and real-time inference systems
• Experience working with structured and unstructured data including time-series telemetry and streaming data
• Strong understanding of machine learning algorithms statistics data structures system design and model evaluation techniques
• Experience designing and working with databases and data platforms including SQL NoSQL and vector databases
• Familiarity with cloud-native and distributed environments including containers Kubernetes and scalable AI infrastructure
• Experience integrating APIs and working with service-oriented or microservices-based architectures
• Experience with Git workflows (GitLab/GitHub)

What Will Set You Apart:

• Strong software development background including experience building scalable backend systems and distributed platforms
• Proficiency in software development languages such as Go Rust C or TypeScript
• Experience with Model Context Protocol (MCP) or similar frameworks for AI interoperability and agent integration
• Experience with orchestration frameworks such as LangChain LangGraph Ray CrewAI or similar technologies
• Experience with telemetry observability or analytics platforms used in networked or distributed systems
• Familiarity with broadband telecommunications DOCSIS Wi-Fi mobile or network infrastructure technologies
• Experience processing and analyzing large-scale time-series data for anomaly detection or predictive analytics
• Experience developing software reference implementations APIs and developer-facing platforms
• Experience creating technical documentation using AsciiDoc Mermaid Markdown or similar tools
• Bachelors or Masters degree in Computer Science Computer Engineering Electrical Engineering Data Science or a related field

At CableLabs Youll Enjoy Comprehensive Compensation and Benefits

Compensation:The salary range is$135200 - $165360. This position is eligible for bonus incentive compensation up to20%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 arrangementsUnlimited PTO 11 paid holidays100% paid family and medical leave.

To learn more and discover additional benefits read ourEmployee Benefits Guide.

Working conditions and physical requirements

This job operates in a professional office environment. This role routinely uses standard office equipment. Working conditions for our office typically involveindoor settings often with a mix of standing sitting and walking along with the use of hands and fingers to operate computer 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 or . View our full EEO policyhere.