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Principal AI Researcher
CiscoPrincipal AI Researcher developing world models and reinforcement learning for Cisco’s autonomous networking platforms. Building simulators and safety evaluation methods for production network systems.
Posted 9/3/2026full-timeMilpitas • California • 🇺🇸 United StatesLead💰 $296,300 - $374,800 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing world models and reinforcement learning approaches for autonomous networks, with a strong focus on deep learning frameworks and real-world application of research findings.
Highest-signal resume keywords
Master's Degree In Computer ScienceReinforcement LearningDeep Learning Model OptimizationPyTorchResearch Publication In AI/ML
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
World ModelsModel-Based Reinforcement LearningRepresentation LearningPlanningSequential Decision-MakingSimulation EnvironmentsNetwork Behavior PredictionConfiguration Impact AnalysisTraining And Evaluating ModelsLearning-Based Approaches
Soft Skills
Research Problem SolvingCollaboration With Networking Experts
Tools & Technologies
JAXDeep Learning FrameworksSimulation Tools
Industry Keywords
Autonomous NetworksDistributed SystemsRoboticsEmbodied AILarge-Scale Trajectories
Tech Stack
Tools & technologiesDistributed SystemsPyTorch
About the role
Key responsibilities & impact- 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 production deployment
- Explore representation learning, planning, and sequential decision-making approaches 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
- Contribute to open-source projects
Requirements
What you’ll need- Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Autonomous Systems, or a related field, with 8+ years of relevant research experience, or equivalent demonstrated research impact
- 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
- At least 2 models trained and evaluated at production or research scale
- Demonstrated research track record through publications at leading AI/ML conferences or equivalent research contributions
- Ability to take a research problem from idea through experimentation and working prototype
- Preferred: experience building world models, learned simulators, or model-based RL systems
- Preferred: experience with offline or online reinforcement learning, simulation, or learning from large-scale trajectories
- Preferred: experience with graph learning or modeling complex dynamic systems
- Preferred: experience in networking, distributed systems, robotics, autonomous systems, or embodied AI
- Preferred: experience applying research to real-world systems at scale
Benefits
Comp & perks- Medical, dental and vision insurance
- 401(k) plan with a Cisco matching contribution
- Paid parental leave
- Short- and long-term disability coverage
- Basic life insurance
- Cisco restricted stock unit grants may be available, vesting following continued employment
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- Paid birthday day off
- Paid year-end holiday shutdown
- 4 paid days off for personal wellness
- 16 days of paid vacation per full calendar year for non-exempt employees
- Flexible vacation time off program with no defined limit for eligible exempt employees
- 80 hours of sick time off provided on hire date and each January 1st thereafter
- Up to 80 hours of unused sick time carried forward
- Additional paid time away for critical or emergency family issues
- Optional 10 paid volunteer days per full calendar year
- Annual bonuses for non-sales roles, subject to Cisco policies
- Sales incentive compensation for employees on sales plans, subject to the applicable Cisco plan