Application Guide
How to Apply for Research Engineer
at Timaeus
🏢 About Timaeus
Timaeus is an AI safety research organization focused on singular learning theory and developmental interpretability, making it unique in its specialized approach to understanding advanced AI systems. The company's mission to study foundational AI safety questions offers researchers the opportunity to work on cutting-edge theoretical problems with significant long-term implications for AI alignment and safety.
About This Role
As a Research Engineer at Timaeus, you'll contribute to AI safety research through technical implementation, experimentation, and analysis related to singular learning theory and developmental interpretability. This part-time remote role involves translating theoretical concepts into practical research tools and experiments that advance the organization's mission of understanding and making AI systems safer and more interpretable.
💡 A Day in the Life
A typical day might involve implementing experimental code for singular learning theory research, analyzing results from previous experiments, and collaborating remotely with other researchers through documentation and virtual meetings. You'll balance independent coding work with contributing to the team's research discussions and helping translate theoretical concepts into practical experiments.
🚀 Application Tools
🎯 Who Timaeus Is Looking For
- Strong background in machine learning theory with understanding of singular learning theory, statistical learning, or related mathematical frameworks
- Experience implementing research code in Python with libraries like PyTorch, JAX, or TensorFlow for experimental AI research
- Ability to work independently in a remote, part-time capacity while contributing to collaborative research projects
- Interest in AI safety, interpretability, and alignment research beyond just technical implementation
📝 Tips for Applying to Timaeus
Demonstrate specific knowledge of singular learning theory or developmental interpretability in your application materials
Include concrete examples of research code you've written for ML experiments, preferably with links to GitHub repositories
Explain how your technical skills can contribute to AI safety research specifically, not just general ML applications
Show understanding of Timaeus's research focus by referencing their published work or research directions
Highlight experience with remote collaboration tools and self-directed research work suitable for a part-time role
✉️ What to Emphasize in Your Cover Letter
["Your specific interest in AI safety research and why Timaeus's focus on singular learning theory appeals to you", 'Examples of previous research engineering work that demonstrates both technical implementation skills and research thinking', 'How your background prepares you to contribute to developmental interpretability or related AI safety research areas', 'Your approach to working independently in a remote, part-time research role']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Read Timaeus's published research or blog posts on singular learning theory and developmental interpretability
- → Understand the organization's specific research directions and how they fit into the broader AI safety landscape
- → Research the backgrounds of Timaeus team members to understand their research interests and expertise
- → Familiarize yourself with key concepts in singular learning theory and how they differ from standard ML approaches
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Applying with only general ML engineering experience without showing specific interest in AI safety research
- Failing to demonstrate understanding of Timaeus's specific research focus on singular learning theory
- Not providing concrete examples of research code or experimental work in your application materials
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!