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Machine Learning Researcher at Kiddom | San Francisco

KiddomSan Francisco
On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Master's degree or PhD in Computer Science, Machine Learning, or a related field. Strong understanding of machine learning algorithms and their applications in education. Experience with programming languages such as Python, R, or Java. Proven track record of research in AI or machine learning, preferably in an educational context. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

About the job

About Kiddom

Kiddom is an innovative educational platform committed to fostering student equity and growth by seamlessly integrating high-quality instructional materials with engaging digital learning experiences. Our unparalleled curriculum management tools empower schools and districts to take charge of their curriculum, resulting in customized learning experiences that cater to the distinct needs of local communities. With robust data insights for teachers and leaders, Kiddom drives ongoing improvements in instructional decisions, school and district programming, and professional development.

Join us in our mission to transform K-12 education through the integration of cutting-edge AI and meaningful learning outcomes. As a Machine Learning Researcher, you will be instrumental in expanding the possibilities of AI in the educational landscape. Your contributions will help personalize teaching experiences for educators and enhance student outcomes. This role merges technical expertise with the opportunity to create a lasting impact on educators and students across the nation.

About Kiddom

Kiddom is at the forefront of revolutionizing education through the integration of advanced technologies. We are dedicated to enhancing student equity and growth by providing tools that empower educators and foster personalized learning experiences. Join us as we shape the future of K-12 education.

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