AI Researcher

Cisco

Remote

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $181,000–$270,300 / yr
Posted: 2 days ago
Closes: Jul 2, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k

This role $226k

$155k most similar roles pay here $283k

This role pays more than 60% of similar roles. Most pay $167,449–$246,237 — the shaded band above. At the midpoint, this role pays about $226k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 186 open roles on FindRole.

Listed pay typically runs $165,000–$241,400 across 186 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · AI Researcher

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As an AI Researcher at Foundation AI within Cisco, you will join a team dedicated to advancing frontier AI research and translating it into practical solutions for enterprise-scale applications. Your role involves designing experiments, developing new methods, and optimizing large language models and agentic systems for security-focused use cases. You will work on scalable data curation and processing techniques, build production-ready AI systems using robust software engineering practices, and contribute to the open-source community by publishing research in top-tier conferences. The ideal candidate has expertise in Python, PyTorch, and common ML libraries, along with experience in large language models, model training, and fine-tuning. Additionally, familiarity with cloud-native deployment tools like Docker, Kubernetes, and major cloud platforms is preferred, as well as a track record of publishing impactful research or contributing to significant open-source projects.

Skills

Python PyTorch Kubernetes MLOps AWS GCP Azure vLLM NVIDIA Triton TorchServe Docker CI/CD PostgreSQL NeurIPS ICML ICLR ACL

What you'll do

Develop scalable data curation and processing methods for model training.
Optimize large language models and agentic systems for enterprise use cases.
Design infrastructure for training purpose-built AI models at scale.
Write scientific articles for top-tier machine learning conferences.
Contribute to the open-source AI community with research insights.

What we're looking for

Strong experience with Python, PyTorch, and production-grade software engineering practices.
Deep expertise in large language models, model training, fine-tuning, evaluation, inference, and optimization.
Proven ability to develop scalable data curation methods and reliable infrastructure for large-scale AI systems.
Demonstrated history of publishing research in top-tier AI/ML conferences or contributing to significant open-source projects.
Strong understanding of data pipelines, model experimentation, and scalable AI system design.
Experience optimizing large language models and agentic systems for enterprise and security-focused use cases.

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