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