Staff Machine Learning Engineer

• Design and build evaluation systems that assess educational AI quality across thousands of conversations - from learning outcomes to bias detection to curriculum alignment
• Build ML systems that enable self-improving app creation - learning from high-quality apps on the platform to automatically scaffold new applications for educators
• Design and prototype downloadable, on-device AI models that work without internet connectivity - critical for privacy and global accessibility
• Build content moderation and safety systems designed specifically for educational discourse

This role makes frontier AI useful, safe, and accessible in educational contexts, empowering educators and students to build custom AI apps for their unique context and helping them become critical consumers and creators of AI.

• 7+ years building and deploying ML systems in production, with recent experience in generative AI and LLMs
• Strong understanding of ML fundamentals, model fine-tuning, and evaluation methodologies
• Experience building production AI systems - you understand latency, cost optimization, and evaluation challenges
• Proficient in Python and ML frameworks (PyTorch, TensorFlow, HuggingFace, etc.)

No benefits or compensation information provided in the job posting.