Senior ML Research Scientist

Required

• Strong applied experience in computer vision, NLP, or deep learning, with a track record of independently designing experiments, analyzing results, and turning findings into working systems.
• Experience owning substantial ML projects across the full lifecycle, from data and modeling through production delivery.
• Deep hands-on ability in Python and PyTorch, with strong intuition for model architecture, data quality, experimentation, and evaluation.
• Experience with modern vision or multimodal techniques such as vision transformers, contrastive learning, masked image modeling, or weak supervision, etc.
• The judgment to connect model performance to real user and clinical outcomes, including knowing when a benchmark improvement is not enough.
• Strong collaboration skills across research, engineering, product, data, and clinical teams.
• Clear written and verbal communication, including the ability to explain technical tradeoffs to both ML experts and clinical partners.
• Typically 4+ years of relevant applied ML research or engineering experience, or equivalent scope and impact. We calibrate on demonstrated ownership rather than title or exact tenure.
• An MS, PhD, or equivalent practical experience in Computer Science, Electrical Engineering, Machine Learning, Biomedical Engineering, or a related quantitative field.