Application Guide
How to Apply for Senior Learning Engineer [Math Focus]
at Playlab
🏢 About Playlab
Playlab is a tech non-profit that empowers educators and students to become critical consumers and creators of AI through open-source tools and hands-on professional development. With over 40,000 educators publishing AI apps, Playlab is shaping the future of equitable, community-driven AI in education.
About This Role
As Senior Learning Engineer with a math focus, you'll build AI tools for K-12 math classrooms, coach math educators, and shape how AI is integrated into math instruction. This role is high-impact because math is a high-stakes subject where AI can either harm or deeply support learning, and you'll help define best practices.
💡 A Day in the Life
Your day might start by testing a new AI math tool with a small group of students, then debriefing with a teacher to refine it. Afternoon could involve collaborating with engineers to improve scaffolding features, followed by a virtual coaching session with a district math team on integrating AI into their curriculum.
🚀 Application Tools
🎯 Who Playlab Is Looking For
- Deep expertise in K-12 math education, including curriculum design, pedagogy, and common student misconceptions.
- Experience building or designing AI tools for education, with an understanding of how to scaffold student thinking and avoid confident wrong answers.
- Strong coaching and professional development skills to support math educators in adopting AI tools effectively.
- Familiarity with open-source, community-driven approaches and a passion for equitable, creative futures in education.
📝 Tips for Applying to Playlab
Highlight specific examples of AI tools or math learning experiences you've designed, especially those that address student misconceptions or teacher workflow.
Showcase your experience coaching math educators—mention any workshops, PD sessions, or collaborative projects.
Demonstrate your understanding of Playlab's mission by referencing their open-source, community-driven model and how your work aligns.
Include a portfolio or links to AI apps or math resources you've created, ideally on Playlab's platform if possible.
Tailor your resume to emphasize math-specific achievements and avoid generic edtech experience without math focus.
✉️ What to Emphasize in Your Cover Letter
['Your deep math expertise and how it informs your approach to designing AI tools that avoid harmful errors.', 'Your experience working directly with K-12 math educators to integrate technology or AI.', "Your alignment with Playlab's mission of equitable, community-driven AI and open-source values.", "Concrete examples of how you've built or contributed to AI tools that scaffold student thinking or reduce teacher prep time."]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Explore Playlab's platform and try building a simple AI app to understand their tools and community.
- → Read about Dan Meyer's work and philosophy in math education to understand the 'Dan Meyer like educators' reference.
- → Review Playlab's blog or resources on AI in math education to see their current thinking and projects.
- → Look into their partner schools and districts to understand the context where you'd be working.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Avoid being overly technical without connecting to math pedagogy—this role is about education, not just engineering.
- Don't ignore the non-profit, mission-driven aspect; focus on impact over profit.
- Don't give generic AI education answers—be specific to math and K-12, and address the unique challenges of math (e.g., wrong answers).
📅 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!