🇺🇸 Machine Learning Researcher Full time

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.

- Develop and Optimize AI Models: Design, implement, and fine-tune generative AI models, including large language models, to personalize teaching experiences and improve student outcomes.
- Conduct Research: Stay updated on the latest AI trends and advancements, applying state-of-the-art methodologies like Retrieval-Augmented Generation (RAG) and multi-modal models to create innovative educational solutions.
- Collaborate Across Teams: Work closely with cross-functional teams, including educators, designers, and product managers, to align AI solutions with educational goals and user needs.
- Data Analysis and Insights: Utilize robust data analytics to provide insights that drive improvements in instructional decisions, school programming, and professional development.
- Contribute to Curriculum Enhancement: Support the development of high-quality instructional materials integrated with AI tools to enhance curriculum management and personalization.
- Implement Best Practices: Ensure the reliability and scalability of AI solutions by adhering to software engineering practices such as Test-Driven Development (TDD) and CI/CD pipelines.
- Engage in Knowledge Sharing: Author research papers or white papers to share findings and contribute to the broader AI and EdTech communities.

- 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.

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.

- Competitive salary
- Meaningful equity
- Health benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
- 10 paid sick days per year
- Unlimited vacation time policy (subject to internal approval). Average use 4 weeks off per year.
- Paid family leave for eligible employees