Enterprise AI Researcher: Scalable Systems & Frontier Models

Cisco; San Francisco (CA); On-site; USD 190,000 - 320,000; Full time

Job summary

Foundation AI at Cisco is seeking an AI Researcher to advance frontier AI research and deploy enterprise-scale AI systems. You will design experiments, develop new methods, and translate research insights into practical, scalable solutions focused on large language models, agentic AI, and multimodal learning.

You will work on data curation, training optimizations, and infrastructure for reliable AI workflows, with opportunities to publish and contribute to the AI community while collaborating

Qualifications

• Bachelors + 7 years related experience, or Masters + 4 years, or PhD + 1 year in CS/AI/ML or related field.
• Strong experience with Python, PyTorch, production-grade software engineering practices, and common AI/ML libraries.
• Experience with large language models, model training, fine-tuning, evaluation, inference, and optimization.
• Strong understanding of data pipelines, model experimentation, and scalable AI system design.
• Strong communication skills, with the ability to explain complex research and engineering concepts to cross-functional partners.

Responsibilities

• Develop scalable data curation and processing methods that improve model training and task-specific performance.
• Build production-ready AI systems using strong software engineering practices.
• Optimize large language models and agentic systems for enterprise and security-focused use cases.

Skills

Python

PyTorch

production-grade software engineering

AI/ML libraries

data pipelines

communication skills

Education

Bachelors + 7 years related experience

Masters + 4 years related experience

PhD + 1 year related experience

Tools

vLLM

NVIDIA Triton

TorchServe

Docker

Kubernetes

AWS

GCP

Azure

MLOps pipelines

Job description

Foundation AI at Cisco is seeking an AI Researcher to advance frontier AI research and deploy enterprise-scale AI systems. You will design experiments, develop new methods, and translate research insights into practical, scalable solutions focused on large language models, agentic AI, and multimodal learning.

You will work on data curation, training optimizations, and infrastructure for reliable AI workflows, with opportunities to publish and contribute to the AI community while collaborating