Machine Learning Engineer / AI Systems Engineer

The role

This person will design, develop, and maintain automated educational evaluation and learning systems using speech recognition, NLP, and LLMs. They will build scalable Python backend services and cloud-native infrastructure for real-time AI inference.

What you will do

• Design, develop, and maintain automated educational evaluation and learning systems leveraging speech recognition, NLP, and large language models (LLMs).
• Integrate and fine-tune third-party AI services, open-weight LLMs, and proprietary models.
• Architect and implement end-to-end ML pipelines for data extraction, semantic analysis, multi-label classification, and predictive modeling.
• Build scalable Python backend services and cloud-native infrastructure.
• Conduct rigorous model validation and bias analysis.
• Develop distributed data engineering solutions to process and serve large-scale educational datasets.
• Collaborate with cross-functional engineering, data science, and product teams.
• Author technical design documents, algorithm specifications, and architecture decision records.

Required qualifications

• Master’s degree (or foreign equivalent) in Computer Science or a related field
• 18 months of experience in the job offered or in a related occupation within a startup environment, involving the design, development, and operation of machine learning–powered services deployed in pr

Benefits

• Competitive Salary
• Medical, dental, and vision benefits
• 401(k) with company matching
• Flexible time off
• Stock option ownership
• Cutting-edge work
• The opportunity to help children around the world reach their full potential

About the company

Amira Learning delivers the latest reading and neuroscience with AI to accelerate literacy outcomes. The platform serves as an Intelligent Assistant for teachers and an AI Reading Tutor for students.