Senior AI Research Scientist (Frontier Models)

Cisco

San Francisco (CA)

On-site

USD 170,000 - 260,000

Full time

2 days ago
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Job summary

Foundation AI within Cisco is seeking an AI Researcher to advance frontier AI, focusing on large language models, agentic AI, and enterprise-scale AI applications. You will design experiments, develop new methods, and translate research into practical systems aligned with Cisco's priorities.

You will publish research, contribute to open-source AI projects, and write technical blog posts while building scalable data curation, training, and deployment pipelines for production use.

Qualifications

  • PhD/masters or equivalent in CS/AI/ML.
  • Strong Python and PyTorch with production-grade practices.
  • Experience with LLMs, training, fine-tuning, evaluation, inference, optimization.
  • Strong data pipelines, experimentation, and scalable AI system design.
  • Excellent communication to explain research to cross-functional partners.

Responsibilities

  • Develop scalable data curation and processing methods for model training.
  • Build production-ready AI systems with solid software engineering.
  • Optimize large language models and agentic systems for enterprise use.

Skills

Python
PyTorch
production-grade software engineering
large language models
model training
fine-tuning
evaluation
inference
optimization
data pipelines
scalable AI system design
communication skills

Education

Bachelors in Computer Science
Masters in AI/ML
PhD in related field

Tools

Docker
Kubernetes
MLOps pipelines
AWS
GCP
Azure
NVIDIA Triton
TorchServe
vLLM

Job description

Foundation AI within Cisco is seeking an AI Researcher to advance frontier AI, focusing on large language models, agentic AI, and enterprise-scale AI applications. You will design experiments, develop new methods, and translate research into practical systems aligned with Cisco's priorities.

You will publish research, contribute to open-source AI projects, and write technical blog posts while building scalable data curation, training, and deployment pipelines for production use.

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