Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build AI-native learning systems that empower educators and enhance learner experiences.
- Company: Join OpenAI, a leader in AI research dedicated to making technology accessible for all.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on global education by shaping the future of AI learning.
- Qualifications: 5-10+ years in software or learning engineering with a passion for education.
- Other info: Dynamic team environment focused on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
The Education team at OpenAI is building systems that help make ChatGPT a highly effective learning partner. As AI progress continues to accelerate, our goal is to design learning capabilities that help individuals, developers, educators, and organizations move from curiosity to mastery with the help of AI tools. This team works at the intersection of AI systems, learning science, and large-scale platforms to build the infrastructure for AI-native learning experiences globally.
OpenAI is seeking a Learning Systems Engineer to help build the infrastructure behind AI-native learning experiences. This role sits at the intersection of backend systems, learning science, research, and product. You will translate pedagogical goals into production systems: learner models, progress tracking, adaptive feedback loops, formative assessments, and analytics to measure whether people are actually learning. Your work will help ensure that millions of people around the world can learn effectively and build real capability with AI.
What You'll Work On
- Build AI-Native Learning Infrastructure: Develop core systems for AI education, including dynamic experiences, progress tracking, and assessments.
- Enable Adaptive Learning: Develop capabilities that allow learning experiences to dynamically adapt to learners' knowledge, goals, and behaviours over time.
- Design Data Systems for Insights: Build data pipelines and analytics systems to help educators understand learner outcomes, engagement patterns, and skill development.
- Empower Educators: Build systems that allow non-engineers to design, configure, and experiment with learning experiences without requiring direct engineering support.
What Success Looks Like in the First 12 Months
- Help launch new AI learning experiences that reach a broad set of learners.
- Refine infrastructure that allows educators to deliver adaptive learning and assessments.
- Validate the learning analytics pipeline to provide deeper insights into AI driven learning.
- Empower education teams to use AI tools to build and iterate at scale.
Core Qualifications
- 5–10+ years of experience in software, data, or learning engineering.
- Experience building data systems or infrastructure that support education & training.
- Experience working with learning data, analytics pipelines, or educational metrics.
- Comfort translating learning or pedagogical goals into technical systems.
Strong Additional Qualifications
- Background in learning science, instructional design, or education research.
- Experience building LMS platforms or training infrastructure.
- Experience with learning analytics, learner data models, or educational measurement.
- Experience building systems that incorporate AI models into educational workflows.
- Experience with credentialing, certification systems, or competency frameworks.
- Experience building platforms used by non-technical educators or curriculum teams.
- Education technology engineering.
- Learning analytics or educational data systems.
- Instructional technology platforms.
- Training platforms for technical products.
- AI tutoring systems or adaptive learning platforms.
Why This Role Matters
AI will fundamentally transform how people learn, work, and create. This role is essential for building the systems that ensure the benefits of AI are accessible to all, enabling learners worldwide to develop meaningful capability with this foundational technology.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general‐purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Learning Systems Engineer in London employer: OpenAI
Contact Detail:
OpenAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Learning Systems Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the education and AI sectors on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing projects related to learning systems or AI. This gives potential employers a taste of what you can do beyond the written word.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and values. Tailor your responses to show how your experience aligns with their goals, especially in adaptive learning and analytics.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Learning Systems Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in building data systems and educational infrastructure. We want to see how your skills align with our mission of creating effective AI-native learning experiences.
Showcase Your Passion for Learning Science: In your application, let us know why you're excited about the intersection of AI and education. Share any relevant projects or experiences that demonstrate your understanding of learning science and how it can enhance educational outcomes.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past roles and achievements, especially those related to adaptive learning and analytics. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at OpenAI
✨Know Your Learning Science
Brush up on the principles of learning science and how they apply to AI. Be ready to discuss how you can translate pedagogical goals into technical systems, as this is crucial for the role.
✨Showcase Your Technical Skills
Prepare to talk about your experience with data systems and analytics pipelines. Have specific examples ready that demonstrate how you've built or improved educational infrastructure in previous roles.
✨Understand Adaptive Learning
Familiarise yourself with adaptive learning technologies and how they can enhance learner experiences. Be prepared to share your thoughts on how to develop systems that adapt to individual learners' needs.
✨Empower Educators
Think about how you can make complex systems accessible to non-technical educators. Be ready to discuss strategies for enabling educators to design and experiment with learning experiences without needing direct engineering support.