About the job
Join Playlab as a Staff Machine Learning Engineer
At Playlab, we are a pioneering tech non-profit focused on empowering educators and students to become informed consumers and innovators in the field of AI.
Our mission revolves around a community-centric, open-source approach to educational AI. By providing essential tools and hands-on professional development, we enable educators and students to design tailored AI applications that fit their unique educational contexts. To date, over 60,000 educators have successfully published apps through Playlab, and our impact continues to expand.
We view AI as a transformative design material, one that should be shaped collaboratively to realize diverse visions of learning. If you are passionate about crafting equitable and innovative futures for educators and students, we invite you to be part of our journey.
The Role
We are searching for a Staff Machine Learning Engineer to enhance our dynamic Engineering team. In this role, you will explore and experiment with cutting-edge AI technologies, transforming them into practical solutions for educators. Your work will bridge the gap between advanced machine learning and actual educational needs, ensuring that frontier AI is both safe and accessible within educational environments.
Key Responsibilities
- Design and develop evaluation systems that gauge the quality of educational AI across numerous interactions, focusing on learning outcomes, bias detection, and curriculum alignment.
- Construct ML systems that facilitate self-improving app creation, utilizing insights from high-quality apps on our platform to automatically scaffold new applications for educators.
- Create and prototype downloadable, on-device AI models that function offline, ensuring privacy and global accessibility.
- Develop systems that support dynamic interfaces that adapt to learning moments, seamlessly transitioning between chat, writing editors, and interactive simulations.
- Establish content moderation and safety systems specifically tailored for educational conversations.
- Implement agentic AI systems that enable educators to craft goal-oriented applications (e.g., guiding students through projects over two weeks).
- Build advanced RAG systems that integrate diverse educational content with semantic search and knowledge graphs.
- And more…
Expectations
- Conduct research, prototype, and implement machine learning systems that empower educators.
