[Hiring] Machine Learning Engineer / AI Systems Engineer @Amira Learning

Role Description

Design, deploy, and maintain automated educational evaluation systems leveraging speech recognition, natural language processing (NLP), and large language models (LLMs) to analyze and assess real-time user performance and feedback.

• Integrate, fine-tune, and optimize third-party AI services, open-weight LLMs, and proprietary machine learning models to power conversational and adaptive learning experiences tailored to individual user proficiency.
• Architect and build end-to-end machine learning pipelines encompassing data extraction, semantic analysis, multi-label classification, and predictive modeling for real-time educational content delivery.
• Design, develop, and maintain AI/ML systems purpose-built for real-time, low-latency educational platforms serving concurrent users at scale.
• Architect scalable Python backend services deployed on cloud infrastructure, engineered specifically for sub-second inference in production AI applications.
• Conduct rigorous model validation, bias analysis, and performance optimization to ensure accuracy, scalability, and reliability of machine learning systems across diverse user populations.
• Implement cloud-native data engineering solutions utilizing distributed systems and databases to process, transform, and serve large-scale educational datasets for model training and real-time inference.
• Collaborate with cross-functional engineering, data science, and product teams to translate complex business requirements into robust, production-grade AI architectures.
• Author technical design documents, algorithm specifications, and architecture decision records; communicate progress, risks, and trade-offs to technical and non-technical stakeholders.
• Fully remote; work from any U.S. location (no relocation required).

Qualifications

• Master’s degree in Computer Science or related field.
• 3+ years in ML engineering, AI systems development, or software engineering related occupation, in a startup environment.
• Qualifying experience must include:
• Designing, developing, and deploying machine learning and artificial intelligence systems for real-time, production-grade educational or adaptive learning platforms, including speech recognition, natural language processing, and large language model integration.
• Architecting scalable Python backend services optimized for low-latency, high-throughput AI inference serving concurrent users on cloud infrastructure.
• Applying machine learning techniques — including semantic analysis, multi-label classification, and predictive modeling — to build end-to-end automated evaluation and feedback systems.
• Engineering large-scale distributed data systems and cloud-native pipelines for processing, transforming, and serving high-volume datasets for model training and real-time inference.
• Conducting model validation, bias analysis, and performance optimization to ensure accuracy, scalability, and reliability across diverse user populations.
• Programming in Python, including development of production ML pipelines, API services, and integration of third-party AI services with proprietary models.

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

Commitment to Diversity

Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer.