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Exponential

Research Intern - AI Security

  • Seen live on Exponential's site today
  • Intern / co-op
  • Remote
Pay
Not stated
Location
Tübingen
Open for
11+ days
First seen
Oct 24, 2026
Apply on Exponential's site (opens in a new tab)

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Exponential's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Exponential, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Build security environments, adversarial agents, and evaluations for frontier AI systems.

Location: Tübingen / Hybrid

Employment: Internship

The role

You will work across AI security, machine learning, and research engineering alongside the core team. You will take ownership of a technically ambitious project in agent security, from designing and implementing the approach to running experiments and communicating the results.

What you’ll work on

  • Develop and evaluate security environments, agent training methods, attacks, or defenses
  • Run controlled experiments with clear baselines and verifiable outcomes
  • Analyze model behavior and communicate the results to the team
  • Contribute code, evaluations, and research findings that remain useful after the internship

What we’re looking for

  • Current study or recent work in machine learning, computer science, security, or a related field
  • Strong programming skills and experience building or evaluating machine-learning systems
  • Curiosity about AI agents and the discipline to investigate failures carefully
  • Ability to work independently and ask for feedback early

Useful experience

  • LLMs, reinforcement learning, or agentic systems
  • Adversarial machine learning, red teaming, or AI safety evaluations
  • Research codebases, reproducible experiments, or open-source contributions
  • A previous research project, thesis, or technical publication

What we offer

  • Competitive compensation
  • Flexible hours and a remote-friendly setup
  • Vacation, learning, and conference budget
  • Research freedom in a high-trust environment

Work with us

Submit your CV, a short note, and links to work that shows how you think and build using the application form.

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