AI Researcher

Cisco

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $160,100–$239,000 / yr
Posted: 2 days ago
Closes: Jul 2, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k

This role $200k

$149k most similar roles pay here $260k

This role pays less than 60% of similar roles. Most pay $166,724–$246,237 — the shaded band above. At the midpoint, this role pays about $200k versus about $206k 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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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 enterprise solutions. 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 strong 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, with a focus on large language models, model training, and optimization. Experience with cloud-native deployment tools like Docker, Kubernetes, and major cloud platforms is preferred, as well as a background in cybersecurity principles and robust machine learning practices.

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.
Build production-ready AI systems with strong software engineering practices.
Design infrastructure needed to train purpose-built models for specific tasks.
Publish research in top-tier machine learning and AI conferences regularly.

What we're looking for

Strong experience with Python, PyTorch, and production-grade software engineering practices.
Deep expertise in algorithm design for pre-training and post-training of large language models.
Ability to develop scalable data curation methods and optimize data pipelines at scale.
Experience optimizing large language models and agentic systems for enterprise use cases.
Strong communication skills to explain complex research and engineering concepts effectively.

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