Application Guide
How to Apply for Member of Technical Staff, Engineering, AI Digest
at Sage
🏢 About Sage
Sage is a unique nonprofit focused on building forecasting tools and visual explainers to help the public understand AI progress and its risks. Working here means contributing to the mission of making AI's trajectory more transparent and accountable, in a collaborative and mission-driven environment.
About This Role
As a Member of Technical Staff, you'll be at the core of developing the AI Village, an interactive platform for studying frontier AI agents on long-term goals. Your work will directly shape how we understand and demonstrate the capabilities and risks of advanced AI systems, making it both technically challenging and impactful.
💡 A Day in the Life
You might start by reviewing the latest agent runs from the AI Village, analyzing any interesting behaviors or failures. You could then spend the afternoon designing a new interface to better visualize an agent's long-term planning, or writing code to improve the platform's scalability. You'd likely have time for deep work, with occasional check-ins with the team to share insights and align on priorities.
🚀 Application Tools
🎯 Who Sage Is Looking For
- Strong background in software engineering with experience in building and scaling complex systems, especially for AI/ML applications.
- Hands-on experience with large language models (LLMs) and agentic frameworks, such as designing prompts, building agents, and evaluating their behavior.
- Ability to work independently with a bias for rapid action, taking ownership of projects from conception to deployment.
- Familiarity with AI safety and alignment topics, and a passion for understanding and mitigating risks of advanced AI.
📝 Tips for Applying to Sage
Tailor your resume to highlight specific projects where you built or scaled AI agent systems, including metrics on performance or scale.
In your cover letter, mention why Sage's mission resonates with you and how your technical skills can directly contribute to the AI Village platform.
Showcase any open-source contributions or public research that demonstrates your ability to surface insights from AI model behaviors.
If you have experience with interactive platforms or data visualization, emphasize that, as the role involves designing interfaces for eliciting and demonstrating capabilities.
Prepare to discuss how you approach long-term, open-ended technical problems, as this role requires a strong ownership mindset.
✉️ What to Emphasize in Your Cover Letter
["Your passion for AI safety and alignment, and how Sage's mission aligns with your values.", 'Your technical expertise in building and scaling AI agent infrastructure, with concrete examples.', 'Your ability to work autonomously and take projects from idea to implementation, showing initiative and impact.', 'Your interest in research and translating findings into actionable insights about AI behavior.']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Read Sage's website and any public reports or blog posts about their forecasting tools and AI Village project.
- → Look into recent research on AI agent evaluation and safety, especially any papers or projects from Anthropic, OpenAI, or DeepMind.
- → Explore the technical challenges of building interactive platforms for AI research, such as how to visualize agent behavior in real-time.
- → Understand the broader AI safety landscape and how Sage's work fits into it, including key debates and methodologies.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Submitting a generic application that doesn't reference Sage's mission or the AI Village specifically.
- Overemphasizing academic credentials without showing practical experience in building AI systems.
- Neglecting to demonstrate your ability to work independently, as the role emphasizes strong ownership and rapid action.
📅 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!