Amira Learning is looking to solve the problem of accelerating literacy outcomes by delivering the latest reading and neuroscience with AI, and is seeking a Data Scientist to help create Gen AI based apps to power the most widely used Intelligent Assistant in U.S. schools.
Requirements
- Background in early education, reading science, literacy, and/or NLP.
- At least one year of experience working with LLMs and Gen AI models.
- Proficient Python programmer.
- Created performant Machine Learning models.
- Experience working with Gen AI models, preferably in the Education SaaS industry.
- Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment.
Responsibilities
- Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways.
- Define approaches to content creation that will enable Amira to safely assist students to build their reading skills.
- Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results.
- Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team.
- Work within a fully distributed (remote) team.
- Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools.
Other
- Bachelor's degree, and/or relevant experience.
- Ability to enjoy working on a remote, distributed team and be a natural collaborator.
- Great interpersonal, written and oral communication skills.
- Experience working across remote teams.
- Proven track record of meeting/exceeding goals and targets.
