Learning Commons, an initiative by Mark Zuckerberg and Priscilla Chan, aims to scale proven teaching and learning practices to benefit every learner. The organization seeks to translate learning science into classroom practice, accelerated by generative AI. They are building foundational infrastructure, including datasets, rubrics, and resources, to ensure the quality and educational relevance of AI systems used in classrooms, addressing the fragmentation in the edtech landscape and the need for AI tools grounded in research and expert evaluation.
Requirements
- Experience in the rapidly evolving field of AI/ML
- Deep interest in how we measure the quality of LLMs
Responsibilities
- build and maintain our rapidly growing set of evaluators
- develop tools that measure the educational suitability of AI systems
- Manage the team of data scientists, software engineers, machine learning engineers, including holding them accountable, performance management and hiring to expand the team
- Drive an iterative/agile mindset into our organization, and set the bar for engineering and process excellence
- Drive the team’s technical strategy, especially as we scale up the work
- Partner closely with product management to define and execute the product roadmap
- Work with internal and external partners to expand the scope of evaluation
Other
- 5 or more years of people management experience with a focus on engineering and process excellence
- Experience managing data scientists and software engineers
- A passion for innovation and rapid iteration
- Experience leading teams in rapidly scaling environments, with a demonstrated ability to thrive in ambiguity and lead others through moments of change
- A business-driven approach that puts customer needs first
