Senior AI Engineer — Production ML for Education Outcomes

TrulyHired; United States; Remote; USD 66,000 - 145,000; Full time

Benefits offered by this job

Bonus potential

Health benefits

Paid time off

Job summary

Stride, Inc. is seeking an experienced AI Engineer to lead end-to-end development of AI-powered data products. You will design, deploy, and monitor ML models and pipelines, collaborating with Product and Engineering to align AI work with Stride's mission to improve student outcomes.

This remote role emphasizes scalable, secure AI systems and strong cross-team partnership. The ideal candidate has hands-on ML experience, cloud and containerization skills, and a passion for education technology.

Qualifications

• Bachelor's degree in a quantitative field and 6 years of related experience, or an equivalent combination.
• Hands-on experience with modern ML libraries and cloud platforms.
• Ability to design, implement, and monitor robust ML pipelines and CI/CD processes.

Responsibilities

• Build AI models, APIs, and pipelines and present data to inform users.
• Influence product and engineering teams to identify trends and opportunities.
• Collaborate with IT and data teams to ensure high-quality data and secure, scalable AI workflows.
• Translate business needs into practical AI solutions that drive outcomes.
• Monitor AI outputs, document processes, and retrain models as needed.
• Lead data gathering and model integration throughout the product lifecycle.
• Drive thought leadership to improve academic outcomes using applied AI.
• Support AI adoption across Stride's schools and services.
• Identify opportunities to leverage AI across business units.

Skills

Applied AI

ML pipelines

Python

AWS Azure

CI/CD

Data analysis

Communication

Education

Bachelor's degree in CS/Math/Engineering

Tools

Docker

Kubernetes

Terraform

MLflow Kubeflow

Git

CI/CD tooling

Job description

Stride, Inc. is seeking an experienced AI Engineer to lead end-to-end development of AI-powered data products. You will design, deploy, and monitor ML models and pipelines, collaborating with Product and Engineering to align AI work with Stride's mission to improve student outcomes.

This remote role emphasizes scalable, secure AI systems and strong cross-team partnership. The ideal candidate has hands-on ML experience, cloud and containerization skills, and a passion for education technology.