Senior Machine Learning Engineer, Education
Job Description
The Team
At CZI, we pair technology with grantmaking to equip educators, families and students with tools that integrate high-quality research, practices and content to unlock the full potential of every student, no matter who they are or where they live. From program conception to software feature design, we center our work on student and educator voices to help educators address the day-to-day challenges in their classrooms.
Since 2015, our grant investments have helped catalyze new tools, practices, and measures designed to foster whole-child outcomes. We leverage technology to provide research-based practices in products that help teachers connect with students and tailor learning experiences to individual student needs.
At our core, we are builders and our unique builder philanthropy approach is what sets us apart from other education funders. Take a closer look at the highlights and significant milestones of CZI’s first eight years of education work.
The Opportunity
Educators are already using AI-based tools in various ways—including generating lesson plans, creating classroom materials such as tests and assignments, and helping differentiate instruction for students. At CZI, we are inspired and excited about the possibilities and promise of AI to accelerate the availability of research-backed practices at scale. We actively and thoughtfully explore how to incorporate AI into products in close partnership with researchers, experts, and educators.
This is our first significant AI/ML-specific hire in our Education Initiative. You will be working in the AI Explore pod, which is tasked with exploring new ideas and technologies to apply AI to education. You will apply the latest research and invent new techniques to enable whole-child, personalized learning in the classroom to build significant new capabilities over the coming years.
Our ideal hire is someone who combines expertise in AI/ML and a willingness to engage in a conversation about what comes next. They need to be comfortable with ambiguity and excited by the challenge of applying AI to education.
What You’ll Do
- Use fine-tuning and RAG to focus LLMs on the education space
- Investigate and propose new systems that combine deep learning with reasoning engines and knowledge-based systems to provide greater precision when tackling education-specific use cases
- Develop and deploy multi-modal AI systems for teachers and students
- Dive deep with our expert partners to explore new applications for AI technology.
What You’ll Bring
- Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and external partners.
- Have a Masters or PhD in computer science (focus on machine learning & data analytics) or a related field or equivalent industry experience and at least 2-3 years of experience developing and applying machine learning methods.
- Have demonstrated experience building and training AI/ML models and developing deep learning methods
- Experience and technical fluency in AI, machine learning, operations research, data integration, or computer science on varied large-scale data sets
How to Apply
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