Description
UniversalAGI is hiring an ML Engineer in San Francisco to own the execution layer of machine learning outcomes, including data preprocessing and generation, training and fine-tuning, benchmarking, and production-grade workflow delivery. The role requires strong software engineering and machine learning skills, hands-on experience with the ML lifecycle, and prior experience training or fine-tuning models. The position is onsite five days per week and offers competitive salary, equity, health, dental, vision, and other benefits.
