[Hiring] AI Engineer @Stride, Inc.

Role Description

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 be responsible for model design, evaluation, and production rollout using standardized Stride coding best practices. They will drive the creation of production AI products directly linked to actionable business decisions.

• Applies expertise in applied AI, model, API, and pipeline creation, as well as the presentation of data to understand user interactions with core products.
• Provides 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 efficient AI workflows with high-quality data.
• Informs, influences, and supports product direction by translating business needs into innovative AI solutions that drive measurable outcomes.
• Ensures AI output is measurable, documented, reproducible, and actively monitored for performance drift.
• Manages the development of AI resources by gathering requirements, organizing data sources, and supporting integration of AI models into products.
• Holds a key thought leadership role on teams responsible for defining and evaluating strategies to improve academic outcomes.
• Ensures Stride’s AI capabilities support schools and school services teams, facilitating adoption and use of actionable data.
• Identifies and defines new opportunities to leverage AI across different business units in support of Stride’s mission.
• Demonstrates genuine enthusiasm for education and the Stride experience, inspiring colleagues and stakeholders.

Qualifications

• 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.

Requirements

• 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 and CI/CD processes.
• Ensures model integrity and reliability, validating outputs to deliver precise insights.
• High attention to detail and accuracy.
• Strong analytical skills and customer service orientation.
• Professional integrity necessary to maintain confidentiality.
• Strong planning skills and ability to manage multiple projects simultaneously.
• Excellent verbal and written communication skills.
• Ability to complete assigned duties within critical deadlines.
• Ability to work independently and in a team environment.
• Proficient with Microsoft Office (Word, Excel, PowerPoint, and Outlook).
• Proficiency with modern reporting platforms and tools.
• Ability to grasp complex platform concepts and business models in a digital context.
• Ability to clear required background check.

Desired Qualifications

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

Work Environment

• This is a home-based position.

Benefits

• Salary range: $66,379.50 to $145,000.00.
• Eligible employees may receive a bonus.
• Robust benefits package including health benefits, retirement contributions, and paid time off.