Machine Learning Engineer / AI Systems Engineer

📋 Description

• Design, deploy, and maintain automated evaluation systems using NLP and LLMs.
• Integrate, fine-tune, and optimize third-party AI services and LLMs for adaptive learning.
• Build end-to-end ML pipelines for data extraction, semantic analysis, and multi-label classification.
• Design low-latency Python backends and cloud infrastructure for sub-second inference.
• Collaborate with cross-functional teams to translate requirements into robust AI architectures.
• Fully remote; work from any U.S. location.

🎯 Requirements

• Master’s degree in Computer Science or related field.
• 3+ years in ML engineering or AI systems in startups.
• Real-time production ML for educational/adaptive platforms (speech/NLP/LLMs).
• Architect scalable Python backends for low-latency cloud inference.
• Build distributed data systems and cloud-native pipelines for training/inference.
• Validate models, analyze bias, optimize performance at scale.
• Integrate third-party AI services and open-weight LLMs with proprietary models.
• Proficiency in Python for production ML pipelines and API services.

🎁 Benefits

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