AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Stride, Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2000

📚 Education

🛍️ eCommerce

☁️ SaaS

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.

📋 Description

• Responsible for end-to-end development and deployment of AI-powered data products • Model design, evaluation, and production rollout • Provide technical guidance to cross-functional teams • Collaborate with IT managers, data stewards, and data engineers • Ensure AI workflows are efficiently provisioned with high-quality data • Translate business needs into innovative yet practical AI solutions • Ensure that AI output is measurable, documented, reproducible • Manage the development of AI resources by gathering requirements • Demonstrate genuine enthusiasm for education and the Stride experience

🎯 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 • Professional integrity to maintain confidentiality • Excellent verbal and written communication skills • Ability to work independently and in a team environment

🏖️ Benefits

• Health benefits • Retirement contributions • Paid time off