AI Product Engineer

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July 31

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Mathspace

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Education • SaaS

Mathspace is an innovative educational technology company that provides adaptive learning solutions for mathematics education. It offers a personalized and interactive learning experience that includes immediate and tailored feedback for students, helping them grasp mathematical concepts effectively. The platform integrates AI-powered diagnostic tools and standards-aligned curricula to facilitate educators with real-time insights on student progress and differentiation. Mathspace is utilized by learners, educators, and administrators to improve learning outcomes by supporting collaboration and adapting to individual learning needs. This tool has been particularly useful for remote learning environments, providing resources such as video lessons and hints to guide students through difficult topics.

51 - 200 employees

📚 Education

☁️ SaaS

📋 Description

• About Us: Mathspace is on a mission to transform mathematics education... • About the Role: As an AI Product Engineer at Mathspace, you'll lead the development of intelligent learning experiences... • What You’ll Be Doing: Designing and building AI-powered learning experiences that integrate LLMs... • Prototyping, testing, and deploying LLM-based features, such as math-specific feedback... • Working across the stack using React, TypeScript, Python and GraphQL... • Experimenting with prompting, RAG, vector search, and fine-tuning strategies... • Collaborating with our curriculum and pedagogy teams to ensure our AI experiences... • Contributing to our AI infra and LLMOps processes, including evaluation pipelines... • Thinking creatively and critically about what LLMs should and shouldn't do...

🎯 Requirements

• 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. You’ll be working cross-functionally with teams across pedagogy, design, and engineering. • A desire to move fast, learn continuously, and build things that really matter for students and teachers.

🏖️ Benefits

• Mission-driven work: Help reimagine math education for students and teachers everywhere. • Meaningful scale: Your work will reach hundreds of thousands of learners across Australia, the US, and beyond. • Small team, big impact: We’re a lean, high-trust team where individual ownership matters. • Flexible work: We support remote work with some timezone overlap with Sydney. Our HQ is near Central Station. • Support for growth: We offer a yearly stipend for training and professional development. • Do good beyond product: We partner with pledge1percent.org and offer 2.5 paid volunteer days annually. • Competitive salary and equipment: Including a MacBook Pro and any peripherals you need to do your best work.