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Machine Learning Engineer
Age of Learning
Company Overview:
Age of Learning® is the leading education technology innovator, creating engaging and effective learning resources to help children build a strong foundation for academic success and a lifelong love of learning. Our research-based digital education programs have proven efficacy in increasing children’s learning gains, and our curriculum is developed by an experienced team of education experts. Age of Learning’s flagship product,® Early Learning Academy, is an award-winning comprehensive curriculum for children.  Adventure Academy, a massively multiplayer online game (MMO), provides elementary-and middle-school-age learners the opportunity to build critical knowledge in language, arts, math, science, social studies, and more in a fun and safe virtual world. The company’s School Solutions Programs include My Math Academy® , an adaptive, personalized program that helps students master foundational math concepts, and My Reading Academy™, which helps young learners become fluent readers and build a foundation for reading comprehension and literacy. With over 10 billion learning activities completed by more than 50 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. To learn more about Age of Learning, visit


The Machine Learning (ML) Engineer will own the data and machine learning processes for the recommender systems company-wide and particularly for Age of Learning’s flagship product, ABCMouse. These recommender systems are the foundation for providing our young users with personalized, adaptive learning experiences geared toward high engagement and high efficacy. Working collaboratively with analysts and researchers, the ML Engineer will determine the data needs for analyses and ML models; communicate with stakeholders to obtain requirements; build systems to automate ML model training and endpoint maintenance; explore and determine and execute optimal model design and ensure end-to-end delivery of data and ML functionality.  


    • Collaborate closely with stakeholders to understand data and ML requirements 
    • Understand and implement ML functionality for a wide range of applications 
    • Create and own Snowflake data marts to support analytics and ML data needs, including building and maintaining data integrations, performing data transformations, and monitoring data quality and completeness 
    • Propose creative solutions for product personalization needs 
    • Explore and conduct analysis to understand the performance of ML models and determine strategies for maintenance and improvement 
    • Propose and implement features that improve our products 
    • Evangelize our data and ML capabilities to stakeholders

Required Qualifications:

    • Bachelor's degree in a quantitative field (such as analytics, statistics, applied math, data science, economics, or computer science) from four-year college or university;  OR a Bachelor’s degree in a non-quantitative field AND a Master’s degree in a quantitative field 
    • Fluent in complex SQL queries on large data sets. 
    • Loves to manipulate and explore data, perform analysis, and create visualizations using Python. 
    • Expert at training, evaluating, deploying, and maintaining ML models using Python on AWS. 
    • Proactive thinker who enjoys proposing ML projects and then delivers 
    • Passion for dimensional modeling in a data warehouse 
    • Excited to leverage modularity and abstraction to accomplish amazing things 
    • Able to understand and analyze data, synthesizing large volumes of data and complex questions into clear analyses and actionable findings 
    • Curious, motivated, self-starter, collaborative, respectful, team player  
    • Excellent attention to detail 
    • Exemplary communication skills (both written and oral) 
    • Can work iteratively, defining requirements as needed 
    • Comfortable multi-tasking and working in a fast-paced, dynamic environment  

Preferred Qualifications:

    • Experience with recommender systems
    • Familiarity with video game design 
    • Experience in EdTech 
Age of Learning currently provides: 

• 90% of employee health and welfare benefits premiums & 65% of dependent benefits premiums
 • A 401(k) program with employer match
 • 15 paid vacation days (increases to 20 days on your 3-year anniversary), 11 observed national paid holidays plus 9 sick days
 • Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions

An Equal Opportunity Employer
Age of Learning, Inc. (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances.
Mid Level