Principal AI Researcher: Autonomous Networks

Cisco Systems, Inc.; Milpitas (CA); On-site; USD 296,000 - 375,000; Full time

Job summary

Cisco Systems, Inc. in Milpitas, CA, is seeking a Principal AI Researcher to lead research on world models and learning-based approaches for autonomous networks.

You will develop world models that learn the state and dynamics of large-scale network environments and build models predicting network behavior and the impact of configuration changes. Additionally, you will develop model-based reinforcement learning approaches for network optimization, create simulation environments for training, and

Qualifications

• Masters in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Autonomous Systems, or a related field with 8+ years of research experience.
• Research experience in world models, reinforcement learning, model-based RL, representation learning, planning, or sequential decision-making.
• 3+ years of hands-on experience building, training, and optimizing deep learning models using PyTorch, JAX, or comparable frameworks, including at least 2 models trained and evaluated at production or research scale.
• Demonstrated track record of research through publications at leading AI/ML conferences or equivalent research contributions.
• Ability to take a research problem from an idea through experimentation and working prototype.

Responsibilities

• Lead research on world models and learning-based approaches for autonomous networks.
• Develop world models that learn the state and dynamics of large-scale network environments.
• Build models that predict network behavior and the impact of configuration and operational changes.
• Develop model-based reinforcement learning approaches for network optimization, troubleshooting, and remediation.
• Build simulation environments for training and evaluating models and agents before they operate on production networks.
• Explore new approaches to representation learning, planning, and sequential decision-making for network environments.
• Develop methods to evaluate the reliability and safety of learned policies before deployment.
• Work with networking experts and engineers to evaluate research on real network data and systems. Publish research at leading AI/ML conferences and contribute to open-source projects.

Skills

World models

Reinforcement learning

Model-based RL

Representation learning

Planning

Sequential decision-making

PyTorch

JAX

Production-scale training

Publications

Education

Master's degree in CS/ML/AI/Robotics

Tools

PyTorch

JAX

Job description

Cisco Systems, Inc. in Milpitas, CA, is seeking a Principal AI Researcher to lead research on world models and learning-based approaches for autonomous networks.

You will develop world models that learn the state and dynamics of large-scale network environments and build models predicting network behavior and the impact of configuration changes. Additionally, you will develop model-based reinforcement learning approaches for network optimization, create simulation environments for training, and