Khan Academy - Senior AI Engineer (24 months fixed-term)
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Requirements
• Technical Proficiency: You have experience working in software engineering, data science, or related technical roles. Experience with python and/or go preferred. • Technical Proficiency: • 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. • Strong technical project management skills: our Senior Software Engineers often lead projects that involve multiple engineers. • Strong technical project management skills: • 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. • Testing and quality assurance: • 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. • Data Analysis: • 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. • Research: • 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. • Communication: • Collaboration: You have a history of working cross-functionally to achieve shared success in organization-wide goals and projects. • Collaboration: • Growth mindset: You’re adaptable to a fast-paced environment, and open to learning new tools and tech. • Growth mindset: • 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. • Ethical Considerations and Bias Mitigation: • Domain understanding: You have a solid understanding of education technology, curriculum development, and learning science. • Domain understanding: • 5+ years of transferrable technical experience (e.g., software engineering, ML engineering, data science) • 2+ years applying AI, machine learning, and natural language processing concepts to real world problems. • 1+ years experience related to education (ed tech, instructional design, learning science research, teaching, etc.) • A high level familiarity with the architecture and operation of large language models, and a nuanced understanding of their capabilities and limitations. • Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere." • Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
Responsibilities
• 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
Benefits
• We may be a non-profit, but we reward our talented team extremely well! We offer: • Competitive salaries • Ample paid time off as needed – Your well-being is a priority • 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost • Remote-first culture - that caters to your time zone, with open flexibility as needed, at times • Generous parental leave • An exceptional team that trusts you and gives you the freedom to do your best • The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education • Opportunities to connect through affinity, ally, and social groups • And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life • At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being. • The compensation band for this role is $137,871 - $172,339 USD annually for candidates based in the United States and $186,306 - $232,883 CAD annually for candidates based in Canada. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data.
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