
Education • eCommerce • SaaS
Stride, Inc. is an innovative company focused on transforming education through online learning and personalized teaching. It serves a diverse range of learners including K–12 students, adult learners, military families, businesses, and school districts. Stride offers a variety of educational products and services, which include K–12 education solutions, career development programs, and personalized tutoring. With a commitment to social responsibility and inclusion, Stride aims to help learners of all ages achieve their full potential by providing flexible and effective learning opportunities both in online public schools and beyond. Stride is also involved in developing tools for educators and supporting businesses by offering career development options and access to a talented workforce. The company is publicly traded on the NYSE under the symbol LRN.
October 5

Education • eCommerce • SaaS
Stride, Inc. is an innovative company focused on transforming education through online learning and personalized teaching. It serves a diverse range of learners including K–12 students, adult learners, military families, businesses, and school districts. Stride offers a variety of educational products and services, which include K–12 education solutions, career development programs, and personalized tutoring. With a commitment to social responsibility and inclusion, Stride aims to help learners of all ages achieve their full potential by providing flexible and effective learning opportunities both in online public schools and beyond. Stride is also involved in developing tools for educators and supporting businesses by offering career development options and access to a talented workforce. The company is publicly traded on the NYSE under the symbol LRN.
• Designing and delivering production-ready AI solutions across the organization • Managing a small team of AI Engineers • Driving the conception, prototyping, and deployment of machine learning models—particularly in natural language processing (NLP) and recommender systems • Collaborating with Product, Engineering, IT Managers, Data Stewards, and high-level executives to align AI initiatives with organizational objectives • Ensuring that AI solutions adhere to governance and compliance requirements
• Bachelor’s degree in Computer Science, Math, Physics, Engineering, or related quantitative field • Six (6) years’ related experience; OR Equivalent combination of education and experience • Experience designing and deploying machine learning models—especially NLP and recommender systems—using Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) • Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform • Excellent verbal and written communication skills • Ability to complete assigned duties within critical deadlines
• Health benefits • Retirement contributions • Paid time off • Eligible for bonus
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