Principal AI Researcher

Cisco
San Francisco
Workplace: HybridFull timeUSD 296,300 - 374,800 annuallyFunction: Research & Scientific (R&D)Experience: 8+ yearsEducation: mastersSkills: ["Collaboration","Experimentation"]

Lead research on world models and learning-based approaches for autonomous networks. Develop models that learn network state and dynamics, predict behavior and the impact of configuration changes, and apply model-based reinforcement learning for optimization, troubleshooting, and remediation. Build simulation environments for training and evaluation, explore representation learning and planning for network environments, and work with networking experts to validate research on real systems, publishing at top AI/ML conferences.

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FursaFursa
Cisco
Cisco
3 days ago

Principal AI Researcher

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live
Reposted: similar role first listed 2 weeks ago

Job Summary

Lead research on world models and learning-based approaches for autonomous networks. Develop models that learn network state and dynamics, predict behavior and the impact of configuration changes, and apply model-based reinforcement learning for optimization, troubleshooting, and remediation. Build simulation environments for training and evaluation, explore representation learning and planning for network environments, and work with networking experts to validate research on real systems, publishing at top AI/ML conferences.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Lead research on world models and learning approaches for autonomous networks.
  • •Develop world models that learn state and dynamics of large-scale network environments.
  • •Build models to predict network behavior and the impact of configuration and operational changes.
  • •Develop model-based reinforcement learning methods for network optimization, troubleshooting, and remediation.
  • •Create simulation environments for training and evaluating models and agents, then validate reliability and safety before deployment while publishing research and contributing to open source.

Pay and Benefits

Salary: USD 296,300 - 374,800 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid Parental

Key Requirements

  • •Master’s in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Autonomous Systems, or a related field, with 8+ years of relevant research experience (or equivalent research impact).
  • •Research experience in world models, reinforcement learning, model-based RL, representation learning, planning, or sequential decision-making.
  • •3+ years building, training, and optimizing deep learning models using PyTorch, JAX, or comparable frameworks, including at least 2 production- or research-scale models.
  • •A demonstrated record of research through publications at leading AI/ML conferences or equivalent research contributions.
  • •Ability to take a research problem from idea through experimentation and into a working prototype.
Experience:8+ yearsAutonomous systemsReinforcement learningDeep learningAI/ML researchNetworking
Education:Master's
Skills:CollaborationExperimentation
Tech Stack:PyTorchJAX

Company Brief

Cisco
Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1984
Glassdoor
Glassdoor: 4.0
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