AI Research Scientist III

Cisco

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$184,000–$274,600 / yr
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live 2 days ago
Closes
Oct 7, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $229k
$126k most similar roles pay here $290k

This role pays more than 68% of similar roles. Most pay $152,755–$241,750 — the shaded band above. At the midpoint, this role pays about $229k versus about $197k 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 180 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 180 roles with salary data.

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At a glance

TL;DR · AI Research Scientist III

AI Research Scientist III joins the Foundation AI team to conduct research, development, and deployment of advanced AI systems. The role focuses on large language models, agentic AI, multimodal learning, and enterprise-scale applications. You will design experiments, develop new methods, and build production-ready systems by creating scalable data curation and processing techniques. Key responsibilities include optimizing training algorithms, designing infrastructure for purpose-built models, and publishing research in top-tier machine learning conferences or contributing to open-source projects. The position requires expertise in Python, PyTorch, and common AI/ML libraries, alongside experience with model fine-tuning, evaluation, and inference optimization. Preferred skills include using vLLM, NVIDIA Triton, or TorchServe, along with familiarity with Docker, Kubernetes, MLOps pipelines, and cloud platforms like AWS, GCP, or Azure to solve complex problems in security-focused use cases and robust machine learning.

What you'll do

  • Develop scalable data curation and processing methods to improve model training and performance.
  • Build production-ready AI systems using robust software engineering practices.
  • Optimize large language models and agentic systems for enterprise and security-focused use cases.
  • Design infrastructure required to train purpose-built models that compete with frontier models.
  • Conduct research experiments and develop new algorithms for pre-training and post-training.
  • Write scientific articles for top-tier machine learning conferences and publish technical blog posts.
  • Contribute to the open-source AI community through active participation and code contributions.

What we're looking for

  • Bachelor's plus 5 years experience, Master's plus 3 years, or PhD in Computer Science, AI, Machine Learning, or a 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 to explain complex research and engineering concepts to cross-functional partners.
  • Experience designing scalable data curation methods and building reliable infrastructure for large-scale model training (preferred).
  • Experience deploying high-performance inference engines, cloud-native tools like Docker/Kubernetes, and MLOps pipelines (preferred).
  • History of publishing in top-tier AI conferences or contributing to significant open-source projects (preferred).

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