AI Engineer

Stride, Inc.

AI Engineer responsible for end-to-end development of AI-powered products at Stride. Focusing on improving student retention and academic outcomes using machine learning techniques.

Posted 6/10/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $66,379 - $145,000 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

machine learningmodel designmodel evaluationAI solutionsML pipelinesdata productsdata analysisdata managementquantitative analysisprogramming

Soft Skills

technical guidancecollaborationattention to detailanalytical skillsprofessional integritycommunication skillsindependenceteamworkenthusiasmproblem-solving

Tools & Technologies

PythonTensorFlowPyTorchscikit-learnAWSAzureDockerKubernetesTerraformdata management systems

Industry Keywords

AI workflowsdata engineeringcross-functional teamsquantitative fieldeducation technologydata stewardshipproduction rolloutconfidentialitydeploymentinnovation

Tech Stack

Tools & technologies

AWSAzureDockerKubernetesPythonPyTorchScikit-LearnTensorflowTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Health benefits
Retirement contributions
Paid time off