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Teachers Pay Teachers is a community of millions of educators coming together to share their work.
Engineering, Full Time    New York    Posted: Tuesday, January 01, 2019
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At Teachers Pay Teachers (TpT), were unlocking the power of educator-created content. More than 2 out of 3 of U.S. teachers come to TpT every year to get teacher-tested, engaging, & rigorous materials. What began as a humble exchange for teachers looking to share lesson plans has since exploded into an education powerhouse where teachers have created more than 3 million resources for all aspects of PreK-12 education. More than five million educators worldwide (including teachers, administrators, & parents) have downloaded TpT resources more than a billion times. If you havent heard of TpT yet & want to learn more, just talk to a teacher about us. Or try thisrecent articlein Forbes.


As a Sr. Machine Learning Engineer at TpT you will be working with data scientists, data engineers, software engineers, & our product team to create production data products, including categorization, prediction, & recommender systems. Youll be fitting models, designing, building & scaling services, & building tools to ensure quality & a great experience for our users.

Qualities for a successful candidate

  • Strong experience with development of predictive models in production in industry, ideally in Python.
  • Experience with building, scaling, & monitoring resilient software systems.
  • Comfortable with both research & back-end software development in a fast-paced, dynamic environment.
  • Strong statistics & mathematics background, including linear algebra.
  • Enjoys working collaboratively with peer engineering teams.
  • Mentors teammates & teaches what youve learned.
  • At least four years of data science/machine learning experience in industry.

Extra Points for

  • Experience with Ed-Tech & on-line marketplaces.
  • Experience with Docker/Kubernetes, Spark, or AWS at scale.
  • Experience with R, including Shiny applications.
  • Experience with search systems & information retrieval.
  • Experience with Natural Language Processing.
  • Degree in Computer Science, Data Science, or equivalent experience.
  • Open Source or professional community contributions.
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