Conduct research and development on generative AI for K-12 education: build and evaluate LLM applications using prompt engineering, RAG, fine-tuning, and multimodal methods; implement solutions in Python, collaborate with cross-functional teams, and help translate research into product impact.
About Kiddom
Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning.
Join our mission to revolutionize K-12 education at the intersection of cutting-edge AI and impactful learning outcomes. As a Machine Learning Researcher, you will play a pivotal role in pushing the boundaries of what’s possible with AI in education. Your work will assist teachers by personalizing their teaching experience and improving student outcomes. This role combines technical excellence with an opportunity to make a tangible impact on the lives of educators and students nationwide.
What We're Looking For:
- At least 1+ year working with generative AI models.
- Hands-on experience with generative AI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and evaluation of large language model applications.
- Proficiency in Python programming and version control.
- Strong understanding of the latest AI trends and practices to maintain state-of-the-art solutions.
- Collaboration: Excellent communication skills to work effectively with cross-functional teams.
- PhD or Master's in Computer Science, Data Science, or a related field, or equivalent experience.
Nice to have:
- Experience in the EdTech industry or a strong interest in K-12 education.
- Knowledge of educational pedagogy or curriculum development.
- Hands-on experience with multi-modal models.
- Familiarity with software engineering practices such as Test-Driven Development (TDD) and CI/CD pipelines.
- Interest or experience in authoring research papers or white papers.
Why Join Us?
- Make a Tangible Impact: Contribute to improving K-12 education by empowering teachers and enhancing student learning experiences.
- Work on Cutting-Edge AI: Dive into the latest advancements, including prompt engineering, RAG, multi-modal models, and more.
- Collaborate with Passionate Teams: Be part of a diverse team of engineers, designers, product managers, and educators who are driven to solve meaningful problems.
- Growth and Learning Opportunities: Stay at the forefront of AI research and technology in a supportive, innovative environment.
Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.
What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
* Competitive salary
* Meaningful equity
* Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
* One Medical membership (in participating locations)
* Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
* 10 paid sick days per year (pro rated depending on start date)
* Paid holidays
* Paid bereavement leave
* Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
* Commuter and FSA plans
Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.
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