Machine Learning Engineer

DatologyAI is revolutionizing AI model training through intelligent data selection. Following a successful $11.65M Seed round and $46M Series A led by Felicis Ventures, with backing from notable investors including Microsoft, Amazon, and AI pioneers like Geoff Hinton and Yann LeCun, we're expanding our team to transform data curation across modalities.

As a Machine Learning Engineer, you'll be a crucial early senior hire working directly with founders to shape our product direction and technical decisions. You'll focus on developing our core data curation pipeline, implementing systems that process customer data and apply cutting-edge research to identify the most valuable data points in large-scale datasets.

The role demands 4+ years of experience in building production ML systems, strong Python skills, and expertise in implementing research papers. You'll be based in our Redwood City office, working in-person 4 days per week, with comprehensive benefits including full health coverage, 401(k) matching, and both wellness and learning stipends.

This is an opportunity to join a well-funded startup ($57.5M total funding) that's tackling the crucial challenge of making AI models better through smarter data selection. You'll work with a team that values humble collaboration, end-to-end ownership, and technical excellence, while enjoying competitive compensation ($150K-$250K) plus significant equity.