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Cisco

AI Researcher, AISWP

Cisco

. Build purpose-built large language models for Cisco’s networking, security, data center, and observability infrastructure .

Posted 9/28/2026full-timeUnited StatesMid-LevelSenior💰 $168,000 - $244,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Expertise in building and fine-tuning large language models and multimodal models, with a strong foundation in generative AI and machine learning. Proven ability to drive research initiatives, publish in top-tier AI venues, and collaborate effectively with cross-functional teams.

Highest-signal resume keywords
Large Language Model Pre-TrainingGenerative AI ResearchMachine Learning Model DevelopmentTensorFlowPyTorch

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Large Language Model DevelopmentFoundation Model Fine-TuningGenerative AIRepresentation LearningMultimodal ModelsResearch Project ManagementPublication in AI VenuesData Center InfrastructureNetworking AutomationHuman-Computer Interaction
Soft Skills
Strong Communication SkillsInterpersonal SkillsRelationship-BuildingCollaboration
Tools & Technologies
TensorFlowPyTorchHugging Face
Industry Keywords
AI ResearchNetworkingSecurityObservability InfrastructureCross-Functional Collaboration

Tech Stack

Tools & technologies
PyTorchTensorflow

About the role

Key responsibilities & impact
  • Build purpose-built large language models for Cisco’s networking, security, data center, and observability infrastructure
  • Drive pre-training initiatives for foundational models across Cisco’s product portfolio
  • Conduct generative AI research to improve networking automation and human-computer interaction
  • Research domain-specific foundational representations relevant to networking
  • Collaborate with cross-functional engineers and strategists to integrate research into business solutions
  • Publish research in top-tier AI venues
  • Give technical talks and organize workshops
  • Contribute to the broader scientific community and establish Cisco as a global AI research thought leader

Requirements

What you’ll need
  • Bachelor's in computer science + 5 years of related experience, or Masters + 3 years of related experience, or PhD + 0 years of related experience
  • Experience with LLM pre-training and post-training within an industry or academic research lab
  • Minimum of 3 publications within top AI venues such as ACL, EMNLP, ICLR, ICML, NAACL, or NeurIPS
  • Experience working with machine learning models and familiarity with TensorFlow, PyTorch, Hugging Face, or equivalent platforms
  • Prior experience driving research projects within an industry or university research lab, including full-time or internship experience
  • Interest in combining representation learning and problem-specific properties
  • Experience building and fine-tuning foundation models, including LLMs, multimodal models, or domain-specific models
  • Cutting-edge knowledge of generative AI, large language models, and multimodal models
  • Strong communication, interpersonal, and relationship-building skills conducive to collaboration

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 units, subject to eligibility and continued employment
  • 10 paid holidays per full calendar year
  • 1 floating holiday for non-exempt employees
  • 1 paid day off for employee’s birthday
  • Paid year-end holiday shutdown
  • 4 paid days off for personal wellness
  • 16 days of paid vacation time per full calendar year for non-exempt employees
  • Flexible vacation time off program for 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’s policies