AI Researcher

Cisco

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
San Jose, CA
Salary
$216,300–$280,800 / yr
Posted
3 days ago
Freshness
Confirmed live 2 days ago
Closes
Sep 22, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $249k
$145k most similar roles pay here $295k

This role pays more than 70% of similar roles. Most pay $162,000–$254,750 — the shaded band above. At the midpoint, this role pays about $249k versus about $208k 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 196 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 196 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · AI Researcher

As an AI Researcher on the AI Platform Team, you will join a collaborative group of researchers, data scientists, and engineers to transform cutting-edge research into production solutions for internal business units and external customers. You will be responsible for taking methods from paper and prototype into production models on NeuralFabric, specifically focusing on domain models, reinforcement learning, and agent simulation. Your daily work involves designing, training, and fine-tuning Small Language Models for network, security, observability, and operations problems using post-training techniques like LoRA, QLoRA, PEFT, and instruction tuning. You will utilize Python and deep learning frameworks including PyTorch, TensorFlow, JAX, or Hugging Face Transformers. The role addresses the technical challenge of building trustworthy, scalable AI infrastructure while developing reusable training recipes and evaluation methods for multi-modal models and agent simulation systems.

What you'll do

  • Translate cutting-edge AI research into production models for internal business units and external customers.
  • Design, train, and fine-tune Small Language Models for network, security, observability, and operations problems.
  • Develop reinforcement learning, Auto Gym, and agent-simulation methods to create reusable training and evaluation recipes.
  • Define evaluation methods and promotion gates to ensure model quality is measurable and repeatable.
  • Implement advanced post-training techniques including LoRA, QLoRA, PEFT, instruction tuning, and RLHF.
  • Apply research on LLMs, SLMs, multi-modal models, and agents to specific customer use cases.

What we're looking for

  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of experience in applied AI/ML research or engineering.
  • Experience independently designing, training, and fine-tuning language models for production or applied research use.
  • Proficiency with Python and deep learning frameworks such as PyTorch, TensorFlow, JAX, or Hugging Face Transformers.
  • Experience with advanced post-training methods including LoRA, QLoRA, PEFT, instruction tuning, SFT, or RLHF.
  • Track record of leading applied AI projects from research through production deployment across more than one domain.
  • Publications in top AI conferences such as ACL, EMNLP, ICLR, ICML, NAACL, or NeurIPS (preferred).
  • Experience with SLMs, model compression, reinforcement learning, RAG, and advanced evaluation methodologies (preferred).

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