Senior Machine Learning Engineer

Owning a multimodal ML work-stream, the full-time Senior Machine Learning Researcher will translate clinical needs into ML objectives, build and evaluate modern ML systems, and partner with engineering to productionize models in a remote environment. Key responsibilities Translate clinical and product needs into clear ML objectives, data strategies, and model approaches Build and evaluate modern ML systems, including transformers and self-supervised learning Communicate research findings and technical decisions clearly to technical and clinical partners Required qualifications Strong applied experience in computer vision, NLP, or deep learning with a proven track record in ML project ownership Deep hands-on ability in Python and PyTorch, with a strong understanding of model architecture and evaluation Experience with modern vision or multimodal techniques such as vision transformers and contrastive learning Typically 4+ years of relevant applied ML research or engineering experience An MS, PhD, or equivalent practical experience in a related quantitative field