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Mathematics AI Innovation Lead
2 weeks ago
We are on a mission to revolutionize the way students learn mathematics. Our vision is to provide personalized, real-time guidance that helps every learner succeed.
Our team has been pioneering interactive, feedback-driven math learning experiences for over a decade. We've seen firsthand how these experiences can transform education and make it more accessible to everyone.
We believe that AI has the potential to unlock new levels of student engagement and understanding. That's why we're building intelligent learning experiences powered by large language models (LLMs) and other forms of generative AI.
As an AI Product Engineer at our organization, you'll play a critical role in shaping the future of math education. You'll work across the stack to design, build, and deploy novel product features that help students get timely hints, conversational feedback, and human-like math support—at scale.
You'll join a cross-functional product squad of engineers, designers, educators, and product managers who share your passion for innovation and education. Together, you'll explore what's possible at the intersection of pedagogy and AI.
Key Responsibilities- Designing and building AI-powered learning experiences that integrate LLMs into our student and teacher-facing apps.
- Prototyping, testing, and deploying LLM-based features, such as math-specific feedback, adaptive hints, automated question generation, and teacher co-pilot tools.
- Working across the stack using React, TypeScript, Python, and GraphQL.
- Experimenting with prompting, RAG, vector search, and fine-tuning strategies to optimize for student learning outcomes.
- Collaborating with our curriculum and pedagogy teams to ensure our AI experiences are pedagogically sound and aligned with our educational values.
- Contributing to our AI infra and LLMOps processes, including evaluation pipelines, prompt versioning, and observability tools.
- 5+ years of industry experience in product-focused full-stack or backend engineering.
- Proficiency in our stack: React/TypeScript, Python, GraphQL.
- Hands-on experience building and deploying LLM-powered applications in production.
- Familiarity with tools and concepts like RAG, prompt engineering, evaluation frameworks, and LLMOps best practices.
- A strong sense of product intuition and user empathy, especially in educational contexts.
- Excellent communication and collaboration skills.
- Mission-driven work: Help create innovative solutions that make a meaningful difference in education.
- Meaningful scale: Your work will reach hundreds of thousands of learners worldwide.
- Small team, big impact: We offer a collaborative and flexible work environment where individual ownership matters.
- Flexible work arrangements: Support for remote work with some timezone overlap.
- Professional growth opportunities: Annual stipend for training and development.
