About the Role
The engineer will develop and deploy machine learning models, optimize AI-driven features, and collaborate with cross-functional teams to improve product capabilities through data-informed solutions.
Responsibilities
- Design and train machine learning models for educational applications
- Integrate AI components into existing software platforms
- Evaluate model performance and iterate on improvements
- Collaborate with data scientists to refine training datasets
- Monitor deployed models for accuracy and reliability
- Optimize algorithms for speed and efficiency
- Support the development of natural language processing tools
- Ensure compliance with data privacy standards
- Work closely with engineering teams to align AI features with product goals
- Document model architectures and implementation processes
- Troubleshoot issues in AI pipelines
- Conduct experiments to validate new approaches
- Stay current with advancements in artificial intelligence
- Contribute to version-controlled codebases
- Participate in code reviews and technical discussions
- Assist in defining AI strategy for product roadmaps
- Build automated testing frameworks for machine learning systems
- Deploy models using cloud infrastructure
- Collaborate on user feedback analysis to guide AI improvements
- Support scalability of AI services under heavy usage
- Refactor legacy systems to accommodate new AI functionality
- Implement monitoring dashboards for model health
- Work with product teams to identify opportunities for AI integration
- Ensure ethical use of AI in educational contexts
- Contribute to technical documentation for internal and external stakeholders
Compensation
Competitive salary based on experience
Work Arrangement
Hybrid work model with office and remote options
Team
Collaborative team focused on innovation in learning technology
About Us
We are a forward-thinking education technology company dedicated to improving student outcomes through intelligent software solutions. Our culture values curiosity, collaboration, and measurable impact in classrooms.
Benefits
- Comprehensive health insurance
- Retirement savings plan with company match
- Flexible paid time off
- Professional development stipend
- Remote work support
- Parental leave
- Mental health resources
- Wellness programs
Available for qualified candidates
