About Eedi

At Eedi, we're on a mission to sustainably improve learning outcomes for 1 billion students by 2030.

Imagine every student owning their own unique predictive learning graph - capturing their journey, challenges, and progress over time. That’s the future we’re building at Eedi; Enabling personalised, adaptive learning everywhere.

With billions of data points collected over a decade, we’re not just identifying knowledge gaps; we’re understanding why they exist and enabling timely interventions that accelerate learning.

We've secured a $12M grant from a prestigious US foundation, and our first version of the ML model is nearly complete. We’re forging partnerships with major education operators to reach hundreds of millions of students, while positioning Eedi as the leading platform for the world’s best AI tutors.

Why we need you

Your role will be pivotal in transforming this knowledge graph data into powerful machine learning models powering the predictive learning graph.

This isn’t just about building innovative technology, it’s about changing lives. Your work will directly impact students, educators, and parents worldwide, helping to shape the future of education. Join us and be the catalyst for transformative change in school education globally.

Here's what you'll be doing…

You'll be at the forefront of applying machine learning to education. Working closely with our research team to push the boundaries of what's possible. You'll:

Develop and deploy state-of-the-art machine learning models, including Graph Neural Networks and Large Language Models, to unlock insights from our unique knowledge graph.

Collaborate with our Machine Learning Research Engineer to ideate, develop, and productionise innovative ML pipelines that drive personalised learning experiences.

Transform research prototypes into robust, scalable solutions that can handle millions of students.

Work with our product and pedagogy teams to translate ML insights into features that make a real difference in students' lives.

Contribute to groundbreaking research; Potentially presenting at top-tier conferences and collaborating with partners in academia and the broader education community.

Must have’s…

• A track record of developing and deploying machine learning models that solve real-world problems.
• Expertise in Python and PyTorch, with 5+ years of experience in ML model development and deployment workflows.
• A deep understanding of modern ML techniques, including NLP, graph representation learning, and deep learning.
• Be comfortable with ambiguity and thrive in a research-oriented environment where experimentation and iterative design are the norm.
• Experience with MLOps practices and tools for managing the full ML lifecycle.
• Passionate about using your skills to make a positive impact on education and society.

It would be nice if…

• You have experience working in Edtech or a startup environment.
• You have contributed to open-source ML projects or have published papers at top-tier conferences.
• You have experience with cloud platforms like Azure or AWS.
• You have worked in remote or distributed team environments.
• You are a lifelong learner who's always excited to tackle new challenges and expand your skillset.

Benefits at Eedi

• Competitive salary + stock options
• 5% pension contribution
• 30 days holiday + Christmas break
• Cycle-2-work scheme
• Home office budget (chairs, screens etc)
• Truly flexible working - we appreciate real work life balance
• Quarterly off-sites
• Learning budget - we're an education business!

There's one more, very important thing. At Eedi, we're committed to building a diverse and inclusive team. We believe that bringing together individuals with different backgrounds, experiences, and perspectives leads to more innovative solutions and better outcomes for our students. We're proud of the progress we've made in increasing representation across our organisation, and we're always working to do better. We are an equal opportunity employer. We are committed to creating an inclusive environment for all employees.

We don't expect you to be an expert in everything listed above. We're looking for candidates who excel in some areas and have a strong foundation or interest in others. If you meet many of these qualifications but not all, we still encourage you to apply!

Are you ready to use your ML superpowers to revolutionise maths education? We can't wait to hear from you! Let's change the future of learning together!