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As a Senior AI Applications Engineer at Bezos Academy, you will help build AI-powered software applications that support teachers’ abilities to deliver measurable results in early childhood education. As a hands-on, results-driven software developer, you will play a pivotal role in developing intelligent systems for teachers, staff and families with a small product development team. Your products will both thrill and delight their users and enable our national school network to nurture young children’s originality, foster self-agency, cultivate a love for learning, and spark joy.
You have a proven track record of combining machine-learning models, high-quality data, and human-centered workflows into production-ready tools; you consistently deliver solutions that solve human problems. Resourceful throughout the software-development lifecycle—from research and prototyping to deployment, monitoring, and evaluation—you work effectively despite constraints on time and resources. In past roles, you have successfully launched AI-powered applications in collaboration with product-development teams. As a software engineer with a customer mindset, you take pride in applying practical AI workflows and sound software-engineering principles to build high-impact AI products. Adept at working from scratch, you navigate ambiguity, iterate quickly, and shape solutions that earn customer love. Hands-on experience with evaluations, inference validation, and AI guardrails has helped you strengthen the safety, performance, and ethics of AI features. You recognize exceptional work when you see it and instill that same passion in others.
In this role, you will focus on building, measuring, and iterating for children. Motivated equally by great products and great impact, you are deeply inspired by our mission to expand access to quality early childhood education and experiences.
At Bezos Academy, we believe all children deserve the great start that excellent early education provides, including in under-resourced communities. Our mission is to nurture the potential in every child to become a creative leader, original thinker, and lifelong learner by inventing the solutions needed to scale early childhood education. We are a unique organization that realizes our mission in two ways. First, we operate a multi-state network of schools in under-resourced communities, offering quality Montessori-inspired preschool at no cost to families. Second, we create tools, products, technology, and other solutions designed to reach young children and their caregivers well beyond the walls of our schools. We aspire to have a profound, large-scale impact on children ages zero to five. At Bezos Academy, we are committed to expanding access to play-focused preschool education in underserved communities, aiming to improve long-term educational, social, and developmental outcomes in ways that create meaningful and lasting impact.
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As a Senior AI Applications Engineer at Bezos Academy, you will help build AI-powered software applications that support teachers’ abilities to deliver measurable results in early childhood education. As a hands-on, results-driven software developer, you will play a pivotal role in developing intelligent systems for teachers, staff and families with a small product development team. Your products will both thrill and delight their users and enable our national school network to nurture young children’s originality, foster self-agency, cultivate a love for learning, and spark joy.
You have a proven track record of combining machine-learning models, high-quality data, and human-centered workflows into production-ready tools; you consistently deliver solutions that solve human problems. Resourceful throughout the software-development lifecycle—from research and prototyping to deployment, monitoring, and evaluation—you work effectively despite constraints on time and resources. In past roles, you have successfully launched AI-powered applications in collaboration with product-development teams. As a software engineer with a customer mindset, you take pride in applying practical AI workflows and sound software-engineering principles to build high-impact AI products. Adept at working from scratch, you navigate ambiguity, iterate quickly, and shape solutions that earn customer love. Hands-on experience with evaluations, inference validation, and AI guardrails has helped you strengthen the safety, performance, and ethics of AI features. You recognize exceptional work when you see it and instill that same passion in others.
In this role, you will focus on building, measuring, and iterating for children. Motivated equally by great products and great impact, you are deeply inspired by our mission to expand access to quality early childhood education and experiences.
Bezos Academy participates in E-Verify and will provide the federal government with employee Form I-9 Information to confirm authorization to work in the U.S. Bezos Academy only uses E-Verify once a candidate has accepted a job offer and completed the Form I-9. If E-Verify cannot confirm that an employee is authorized to work, Bezos Academy will give the employee written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so the employee can begin to resolve the issue before any adverse employment action is taken. For more information about your right to work, please see the Notice of Right to Work.
We are committed to providing reasonable accommodations to individuals with disabilities. If you are in need of an accommodation to participate in the application process, please reach out to talent@bezosacademy.org . We will work with you to ensure you have a fair opportunity to apply for our open positions.
If you are a current Bezos Academy employee, please use the internal job board to apply.
Nonprofit operator of tuition-free, Montessori-inspired preschools for children ages three to five in under-resourced communities.
Visit company websiteJobs and hiring trendsUSD 157000-298000 yearly / year
Full-time
Senior · 8+ years experience
Hybrid
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