Posting record
Open 11+ days
- Exponential's site dates the posting
- Ghostless first sees this listing
- 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.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
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Skills mentioned
About the role
Build security environments, train adversarial agents, and evaluate frontier AI systems.
Location: Tübingen / Hybrid
Employment: Full-time
The role
You will work across AI security, machine learning, and research engineering. You will design reinforcement-learning environments, train adversarial agents, and build evaluations for capable AI systems.
What you’ll work on
- Design security environments for training and evaluating AI agents
- Post-train agents using reinforcement learning and develop adaptive red-teaming methods
- Evaluate frontier models and agentic systems
- Turn research results into benchmarks, training methods, and tools
What we’re looking for
- A strong track record in machine learning, security, or systems
- Strong software and machine-learning engineering fundamentals
- Experience with LLMs, agentic systems, or reinforcement learning
- Ability to run careful experiments and communicate results clearly
Useful experience
- AI security, red teaming, or adversarial machine learning
- Reinforcement learning or post-training for language models
- Research engineering or production ML systems
- Published research or substantial open technical work
What we offer
- Competitive compensation with equity
- 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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