Application Guide

How to Apply for Research Assistant

at Principled Agents

🏢 About Principled Agents

Principled Agents is a research nonprofit uniquely focused on developing principled solutions for AI alignment's core problems, distinguishing itself from commercial AI labs by prioritizing safety over product development. Working here offers the opportunity to contribute to foundational research that could shape how AI systems are designed to behave safely and beneficially, with a mission-driven team dedicated to solving one of humanity's most important technical challenges.

About This Role

This Research Assistant role involves hands-on experimental work training and evaluating language models for AI safety using PyTorch, while also participating in conceptual discussions about modeling desirable AI behavior. You'll directly contribute to research that could influence how future AI systems are aligned with human values, analyzing results and supporting paper writing for potentially impactful publications in the AI safety field.

💡 A Day in the Life

A typical day might involve running PyTorch experiments to train or evaluate language models on safety-relevant tasks, analyzing the previous day's results to identify patterns or anomalies, and participating in team discussions about how to model desirable AI incentives. You'd likely spend time reading relevant alignment literature, documenting experimental procedures, and contributing to research paper sections based on your findings.

🚀 Application Tools

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Interview Prep

Practice questions for this role

🎯 Who Principled Agents Is Looking For

  • Has practical experience implementing and debugging PyTorch models for NLP tasks, not just theoretical knowledge
  • Can design controlled experiments to test specific hypotheses about language model behavior and safety
  • Demonstrates ability to engage with abstract concepts about AI incentives and value alignment while grounding discussions in empirical evidence
  • Has experience with academic writing conventions and can translate experimental findings into clear, structured research documentation

📝 Tips for Applying to Principled Agents

1

Include specific examples of PyTorch projects where you implemented or modified language model architectures, with links to GitHub repositories if possible

2

Demonstrate your understanding of AI safety concepts by referencing specific alignment problems Principled Agents works on (like reward hacking, specification gaming, or corrigibility)

3

Highlight any experience with experimental design for ML research, including how you controlled variables and validated results

4

Mention any previous research writing experience, particularly if you've contributed to papers, technical reports, or detailed documentation of experiments

5

Show familiarity with the AI safety research landscape by referencing relevant papers or researchers in the field

✉️ What to Emphasize in Your Cover Letter

['Your specific experience with PyTorch for language model experimentation, including any safety-related projects', 'How your research skills align with designing experiments to test AI behavior and alignment hypotheses', 'Your ability to contribute to conceptual discussions about modeling desirable AI incentives and behavior', "Why you're specifically interested in Principled Agents' approach to AI alignment rather than general AI research"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Principled Agents' published research or blog posts to understand their specific technical approaches to alignment
  • → Research the backgrounds of their team members to understand their research perspectives and influences
  • → Explore how their 'principled solutions' approach differs from other AI safety organizations' methodologies
  • → Understand the specific core problems in AI alignment they mention on their website and how they frame these challenges
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk through a PyTorch implementation you've done for a language model experiment, explaining your design choices
2 How would you design an experiment to test whether a language model is gaming its reward signal versus genuinely understanding a safety constraint?
3 What specific alignment problems do you find most pressing, and how might Principled Agents' principled approach address them?
4 Describe a time you analyzed experimental results that contradicted your hypothesis and how you investigated why
5 How would you structure a research paper section documenting an experiment on language model safety evaluation?
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⚠️ Common Mistakes to Avoid

  • Focusing only on general ML/AI experience without demonstrating specific safety or alignment thinking
  • Presenting theoretical knowledge without concrete examples of experimental implementation in PyTorch
  • Applying with a generic AI research interest rather than showing specific enthusiasm for Principled Agents' mission and approach

📅 Application Timeline

⏰ Deadline: May 3, 2026

We recommend applying at least a few days early to avoid last-minute technical issues.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

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Good luck with your application to Principled Agents!

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