Sr. AI Engineer (24 months fixed-term)
Location
United States + 1 moreAll locations: United States, Canada
Posted
2 days ago
Salary
$137K - $172K / year
Seniority
Senior
Job Description
Notice to applicants:
We have seen a rise in recruitment scams. Please note that outreach from Khan Academy recruiters will only come from the @khanacademy.org domain. Our team does not use Gmail or other personal accounts for contacting potential candidates. Khan Academy will never solicit money, equipment fees, or sensitive financial information at any stage of the hiring process. We also do not work with external recruiting agencies, so outreach from headhunters presenting opportunities on behalf of Khan Academy is illegitimate. Please always check the email domain and cross-reference the position with the official Khan Academy Careers page to confirm an opening is valid.
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 a Senior 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
- 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.
- Strong technical project management skills: our Senior Software Engineers often lead projects that involve multiple engineers.
- 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
- 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.
PERKS AND 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.
MORE ABOUT US
- Sal’s TED talk from 2011
- Sal’s TED talk from 2015
- Sal's TED talk from 2023
- Our team: http://www.khanacademy.org/about/the-team
OUR COMPANY VALUES
Live & breathe learners
We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.
Take a stand
As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.
Embrace diverse perspectives
We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.
Work responsibly and sustainably
We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.
Bring out the joy
We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.
Cultivate learning mindset
We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.
Deliver wow
We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.
As part of this commitment, Khan Academy will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact careers@khanacademy.org
Job Requirements
- 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 others, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
- Technical Proficiency: Experience working in software engineering, data science, or related technical roles. Experience with Python and/or Go preferred.
- Applied AI experience: Understanding of generative AI models, structured analytical thought, and high standards for quality.
- Strong technical project management skills: Ability to lead projects involving multiple engineers.
- Testing and quality assurance: Commitment to a careful, iterative, data-driven approach for optimization and continuous experimentation.
- Data Analysis: Ability to analyze interaction data to identify actionable insights for optimizing user experience.
- Research: Keeping informed about developments in AI and understanding implications for product competitiveness.
- Communication: Strong skills to collaborate effectively with cross-functional teams and explain technical concepts.
- Collaboration: History of working cross-functionally to achieve shared success in organization-wide goals and projects.
- Growth mindset: Adaptability to a fast-paced environment and openness to learning new tools and tech.
- Ethical Considerations and Bias Mitigation: Awareness of ethical considerations in AI and strategies for mitigating bias.
- Domain understanding: Solid understanding of education technology, curriculum development, and learning science.
Benefits
- 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.
- 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.
- Opportunities to connect through affinity, ally, and social groups.
- 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life.
- 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.
Related Guides
Related Job Pages
More AI Engineer Jobs
Intern - Development, AI Integration
esVolta, LPA leading developer, owner and operator of utility scale energy storage projects in North America.
We are seeking a motivated and talented individual to join us for a 12-week summer internship within our Development department. This internship will focus on integrating AI tools (e.g., ChatGPT Enterprise / similar LLM platforms) into existing team workflows to reduce manual rep...
Intern - IT, AI Automation
esVolta, LPA leading developer, owner and operator of utility scale energy storage projects in North America.
We are seeking individuals to join us for an eight-week summer internship within our IT department, focusing on AI-driven automation. This internship will provide hands-on experience in identifying opportunities for AI automation, integrating solutions into existing IT systems, a...
AI ML Engineer Remote Nationwide or Hybrid in MN/DC/NJ
OptumOptum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
Design, build, deploy, and maintain AI/ML solutions (including LLMs and Generative AI) for provider-facing products. Lead conversational AI/chatbot initiatives, integrate AI into cloud-based services, ensure responsible and compliant AI use, and collaborate with product and engineering teams to deliver scalable, production-quality solutions.
Lead AI Engineer
TEKsystemsWe're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.
The Lead AI Engineer will architect, design, and lead the development of advanced machine learning models and AI systems primarily using Python, while providing technical leadership and mentorship to the engineering team. This role oversees the entire project lifecycle from data handling through model deployment and monitoring, ensuring best practices are enforced across all AI initiatives.


