AI Intern

Fortinet

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Employment
Intern
Posted
142 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $171k
$112k most similar roles pay here $225k

This listing doesn't post a salary. Most similar roles pay $127,865–$214,000.

Based on 240 similar postings.

Employer

About Fortinet

Fortinet is a US-based cybersecurity company best known for its FortiGate next-generation firewalls. It sells a broad security platform spanning network security, SD-WAN, endpoint protection, cloud security, and SIEM/SOC operations.

Fortinet currently has 43 open roles on FindRole.

Listed pay typically runs $179,000–$219,000 across 35 roles with salary data.

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At a glance

TL;DR · AI Intern

The AI Intern will join the team to focus on organization and AI workflow development by creating, testing, and iterating on AI-powered automations and agents. The role involves performing monitoring and anomaly detection to improve infrastructure performance, analyzing large operational datasets for model training, and documenting new processes or playbooks. You will also evaluate prototype accuracy and track operational KPIs while participating in internal networking and project showcases. Required technical skills include proficiency in Python, JavaScript, or Go, along with knowledge of prompt engineering, LLMs, and foundational machine learning concepts. Candidates should have an interest in observability tools and cloud platforms. This role addresses the challenge of reducing alert fatigue through automation and refining manual workflows into automated systems for internal operations.

What you'll do

  • Create, test, and iterate on AI-powered automations and agents.
  • Implement and maintain AI-driven tools to monitor infrastructure performance and detect anomalies.
  • Analyze large operational datasets to prepare or annotate data for training and refining AI models.
  • Map existing manual workflows and document new AI processes and playbooks.
  • Test prototypes for accuracy and investigate root causes of technical issues.
  • Track operational KPIs to evaluate the effectiveness of AI implementations.

What we're looking for

  • Currently pursuing a degree in Computer Science, Data Science, AI, IT, or a related field.
  • Prior experience with AI projects through personal projects, academic work, or Kaggle competitions.
  • Proficiency in basic scripting or programming using Python, JavaScript, or Go.
  • Knowledge of prompt engineering, Large Language Models (LLMs), and foundational machine learning concepts.
  • Familiarity with or interest in learning observability tools, cloud platforms, or automation platforms.
  • Ability to develop, test, and iterate on AI-powered automations and agents.
  • Experience in data analysis, preparation, and annotation for training or refining AI models.
  • Strong problem-solving skills and a proactive "builder" mindset to collaborate with cross-functional teams.

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