AI Engineer

Stride, Inc.; United States; Remote; USD 66,000 - 171,000; Full time

Job summary

An innovative company is seeking an AI Engineer to lead the development of AI-driven data products that enhance educational outcomes. In this role, you will leverage your expertise in machine learning and data analysis to create impactful solutions that drive business decisions. You will collaborate with diverse teams, ensuring high-quality data flows and robust AI model integration. This position offers the opportunity to work in a dynamic environment where your contributions will directly influence student success. If you're passionate about applying AI in education and eager to make a difference, this role is for you.

Benefits

Health Insurance

Retirement Plan

Paid Time Off

Flexible Work Hours

Qualifications

• 6+ years of experience in AI and ML development.
• Hands-on experience with modern ML libraries and cloud platforms.
• Ability to design and maintain robust ML pipelines.

Responsibilities

• Develop and deploy AI-powered data products using ML techniques.
• Collaborate with cross-functional teams to drive AI solutions.
• Monitor AI performance and ensure continuous improvement.

Skills

Machine Learning

Statistical Principles

Data Manipulation

Analytical Skills

Communication Skills

Planning and Multitasking

Education

Bachelor's in Computer Science

Master's/Doctorate preferred

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

Docker

Kubernetes

Terraform

MLflow

Kubeflow

Job description

Join to apply for the AI Engineer role at Stride, Inc.

Job Description

SUMMARY: The AI Engineer is responsible for end-to-end development and deployment of AI-powered data products based on machine learning over large data sets. The AI Engineer will handle model design, evaluation, and production rollout using standardized Stride coding best practices. They will provide technical guidance to cross-functional teams and develop an understanding of Stride’s business objectives, using AI to improve student retention and academic outcomes. The ideal candidate is deeply experienced, passionate about solving problems through applied ML techniques, comfortable manipulating and summarizing data, and able to set priorities and facilitate collaborative work on complex projects. They will drive the creation of production AI products directly linked to actionable business decisions.

ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.

• Apply expertise in applied AI, model, API, and pipeline creation, as well as presenting data to understand user interactions with core products;
• Provide strategic influence with Product and Engineering teams to solve problems and identify trends and opportunities;
• Collaborate with IT managers, data stewards, and data engineers to ensure AI workflows are efficiently provisioned with high-quality data, following best practices in security, privacy, and scalability;
• Translate business needs into innovative yet practical AI solutions that drive measurable outcomes;
• Ensure AI output is measurable, documented, reproducible, and actively monitored for performance drift, with practices for continuous improvement and retraining;
• Manage AI resources by gathering requirements, organizing data sources, and supporting AI model integration throughout the product lifecycle;
• Lead in defining and evaluating strategies to improve academic outcomes using applied AI expertise;
• Support schools and school services teams by facilitating adoption and use of actionable data to improve outcomes;
• Identify and define new opportunities to leverage AI across business units in line with Stride’s mission and strategy;
• Demonstrate enthusiasm for education and Stride’s mission, inspiring colleagues to harness AI for student success.

Supervisory Responsibilities: This position has no formal supervisory responsibilities.

Certificates and Licenses: None required.

Minimum Required Qualifications

• Bachelor’s degree in Computer Science, Math, Physics, Engineering, or related field AND
• Six (6) years’ related experience; OR
• Equivalent combination of education and experience

Other Required Qualifications

• Hands-on experience with modern ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and understanding of statistical principles;
• Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform;
• Ability to design, implement, and maintain robust ML pipelines, including version control, containerization, and CI/CD;
• Ensure model integrity and validation for precise insights;
• High attention to detail and accuracy;
• Strong analytical and customer service skills;
• Professional integrity for confidentiality;
• Strong planning and multitasking abilities;
• Excellent communication skills;
• Ability to work independently and in teams;
• Proficiency with Microsoft Office and reporting tools;
• Ability to grasp complex platform concepts;
• Ability to clear background checks.

Desired Qualifications

• Master’s/Doctorate preferred;
• Experience with MLOps frameworks (e.g., MLflow, Kubeflow) or advanced ML techniques (e.g., NLP, deep learning).

WORK ENVIRONMENT: This is a home-based position. Reasonable accommodations may be made for individuals with disabilities.

Compensation & Benefits: Salary range anticipated between $66,379.50 and $170,037.60, based on experience, education, and location. Benefits may include health, retirement, and paid time off. Bonuses may apply.

Job Type: Regular, full-time.

This role may include other duties as assigned. Employment is at-will.

If you require accommodations to apply, contact [e-mail].

Equal Opportunity Employer: Stride, Inc. is committed to diversity and equal employment opportunity.