Company: Slope
Location: London
Posted: April 17th, 2026
New York City; London, UK
Full time
Hybrid
Go To Market
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
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.
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 behaviors 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.
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.
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.
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.
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.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, 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.
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