Remote AI Engineer: Production ML for Student Success

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

Job summary

Stride, Inc. is seeking an AI Engineer to lead end-to-end development and deployment of AI-powered data products across large data sets.

You will design models, evaluate them, and push production-ready AI solutions, guiding cross-functional teams to align with Stride's business goals and improve student outcomes. The role requires hands-on ML expertise, cloud and MLOps tooling experience, and the ability to manage multiple projects with strong communication and collaboration skills.

Qualifications

• Hands-on experience with modern ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build scalable, secure environments
• Ability to design, implement, and maintain robust ML pipelines, including version control, containerization (Docker, Kubernetes), and CI/CD processes
• Ensures model integrity and reliability, validating outputs to deliver precise and actionable insights
• Strong planning skills and ability to manage multiple projects simultaneously

Responsibilities

• Applies expertise in applied AI, model, API, and pipeline creation, as well as the presentation of data to see beyond the numbers and understand how our users interact with our core products
• Provide strategic influence with Product and Engineering teams to solve problems and identify trends and opportunities
• Collaborates with IT managers, data stewards, and data engineers to ensure that AI workflows are efficiently provisioned with high-quality data and follow best practices in security, privacy, and scalability
• Informs, influences, and supports product direction by translating business needs into innovative yet practical AI solutions that drive measurable outcomes
• Ensures that AI output is measurable, documented, reproducible, and actively monitored for performance drift. Implements practices for continuous improvement and retraining as needed

Skills

Applied AI / ML models

AWS / Azure

Docker / Kubernetes

CI/CD pipelines

Python ML libraries

Education

Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field

Tools

Terraform

Job description

Stride, Inc. is seeking an AI Engineer to lead end-to-end development and deployment of AI-powered data products across large data sets.

You will design models, evaluate them, and push production-ready AI solutions, guiding cross-functional teams to align with Stride's business goals and improve student outcomes. The role requires hands-on ML expertise, cloud and MLOps tooling experience, and the ability to manage multiple projects with strong communication and collaboration skills.