AI Engineer (12 months or 18 months fixed-term)

ABOUT KHAN ACADEMY

Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone, anywhere. Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science. We have over 181 million registered learners globally and are committed to improving learning outcomes for students worldwide, focusing on learners in historically under-resourced communities.

OUR COMMUNITY

Our students, teachers, and parents come from all walks of life, and so do we. Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional.

THE ROLE

As an AI Engineer, you’ll take responsibility for integrating AI into Khan Academy product features, collaborating with our Product Management, Design, Engineering, and Content teams to develop tools and processes that ensure the consistency and quality of AI implementations.

You will:

• Collaborate with designers, product managers, and engineers to build AI-driven features that support education use cases.
• Develop test datasets and evaluation criteria for the evaluation of AI outputs
• Measure, maintain, and improve AI output quality over time via experimentation with prompting, scaffolding, and implementation architectures

WHAT YOU BRING

Strong execution

Technical Proficiency: You have experience working in software engineering, data science, or related technical roles. Experience with python and/or go preferred. Applied AI experience: You understand what generative AI models are good at and how to elicit the best performance from them. You have a knack for structured, analytical thought, and you’re detail-oriented with high standards for quality. You understand techniques—including prompt chaining, RAG, tool-calling, and fine-tuning—for guiding generative AI outputs in service of a robust and performant enterprise product. Testing and quality assurance: You’re committed to a careful, iterative, data-driven approach for optimization, innovation, and continuous experimentation. You have experience developing evaluation data sets for benchmarking model fit and task-specific performance. Data Analysis: You know how to analyze interaction data, both programmatically and manually, to identify actionable insights to optimize the user experience. You have experience using data to inform strategic decisions. Research: You keep informed about developments in AI and take an active interest in emerging research and industry trends, and you understand the implications for our product’s competitiveness and performance. Communication: Your strong communication skills help you collaborate effectively with cross-functional teams, including educators, developers, and designers. You can explain technical concepts and create high quality documentation. Collaboration: You have a history of working cross-functionally to achieve shared success in organization-wide goals and projects. Growth mindset: You’re adaptable to a fast-paced environment, and open to learning new tools and tech. Ethical Considerations and Bias Mitigation: You’re aware of ethical considerations in AI and machine learning, especially in an educational context, and are familiar with strategies for mitigating bias.

Domain understanding: You have a solid understanding of education technology, curriculum development, and learning science.

Background/experience Bachelor’s deg