Applied Machine Learning Engineer

An Applied Machine Learning Engineer at Inference.net is responsible for building and enhancing the core ML systems for a custom model training platform, overseeing the entire training lifecycle from data intake to model delivery. The role involves creating and maintaining data processing pipelines, developing evaluation frameworks, and applying advanced ML techniques to ensure model quality at scale. This position requires a strong background in AI model training, particularly with PyTorch and transformer architectures, and includes collaboration with infrastructure teams to optimize training workflows on a GPU fleet.