How do we teach thinking in the age of commoditized intelligence?
Our Australia-based AI-first Ed-Tech is solving this
* Mission-driven Ed-Tech sector leader
* LLM / NLP / AI production systems
* Sydney Head office / hybrid / remote
* Decades-long university partnerships / established market player
An exciting opportunity now exists to join one of the fastest growing and most innovative companies in the dynamic education technology sector - Studiosity.
Now reaching over 1.8 million students across the UK, USA, Canada, Australia, NZ, UAE and beyond – Studiosity is the premium partner of choice amongst educational institutions.
This makes us uniquely positioned to win and keep growing our mission to be able to enable better learning experiences and equal opportunity for students.
What you will do
Reporting to the Head of AI, you will join our Product Platform team as an experienced AI Engineer, leading the experimentation, design and development of market-leading generative AI education solutions. Your work will directly support our mission to improve life chances for students everywhere.
This role places you at the forefront of defining how the next generation learns - inventing new ways for students to interact with knowledge, practice skills, and receive personalised feedback.
A critical part of your work will be evolving our AI guardrails and quality systems, ensuring that all AI-generated feedback is safe, ethical, pedagogically sound, and supporting learning outcomes. Our AI team works closely with our Academic Standards team to ensure we focus on the high educational standards. You'll help shape not only the product experience, but also the principles and practices that underpin responsible AI in education.
About you
You are an experienced AI Engineer with strong foundations in machine learning, software engineering, and modern generative AI techniques.
You will ideally have:
* 3+ years of experience designing, building, and operating scalable AI pipelines across data collection, evaluation, deployment, and monitoring.
* 2+ years of commercial experience working on NLP, large language models, or document understanding/analysis applications.
* Strong understanding of machine learning fundamentals, model evaluation, data preprocessing, and robust software engineering practices.
* Experience developing intelligent search systems and/or anomaly detection algorithms is a plus.
* Experience with cloud platforms (e.g., AWS, GCP, or Azure) and associated AI/ML services.
* A demonstrated ability and enthusiasm for mentoring and guiding engineers, fostering growth and technical excellence across the team.
* Demonstrated active use of modern AI tools in the development process is expected.
* Experienced with Python.
Why Studiosity?
Studiosity is an amazing place to work: In addition to our noble purpose of increasing life chances for students, we benefit from a low ego, non-corporate and lifestyle-friendly work ethic and culture. These are complemented by an exceptional passion and drive for lifelong learning in which everyone stays results-driven and proud of the work we deliver every day.
To express your interest please
forward a cover letter
accompanied by your current resume. Thanks for your consideration and we look forward to hearing from you.