Machine Learning Engineer / AI Systems Engineer

• 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.

• 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.

The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role.

ranges are determined by role, level, and location.

Individual pay is based on location, job-related skills, experience, and relevant education or training.

We are an equal opportunity employer.

We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.