AI Engineer

🔥 8 minutes ago

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Stride, Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2000

💼 Consulting

🏥 Healthcare

📚 Education

Consulting • Healthcare • Education

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.

📋 Description

• Responsible for end-to-end development and deployment of AI-powered data products • Provide technical guidance to cross-functional teams • Drive the creation of production AI products • Ensure that AI workflows are efficiently provisioned with high-quality data • Inform and influence product direction by translating business needs into AI solutions • Ensure AI output is measurable, documented, and actively monitored for performance drift • Manage the development of AI resources throughout the product lifecycle • Hold a key thought leadership role on teams responsible for defining strategies to improve academic outcomes • Identify and define new opportunities to leverage AI across different business units

🎯 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 • Hands-on experience with modern ML libraries (e.g., Python-based frameworks such as TensorFlow, PyTorch, scikit-learn) • Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform • Ability to design, implement, and maintain robust ML pipelines • High attention to detail and high level of accuracy • Strong analytical skills • Strong planning skills and ability to manage multiple projects simultaneously • Excellent verbal, and written communication skills. • Proficient with Microsoft Office (Word, Excel, PowerPoint, and Outlook)

🏖️ Benefits

• Health benefits • Retirement contributions • Paid time off • Bonuses