Machine Learning Researcher

⚡ AI Research - Pre-training, Post-training, Reinforcement Learning💡 Medical Imaging🌎 San Francisco (on-site)💸 $350k - $400k + equityJoin a high-growth Clinical AI startup bringing frontier AI into real clinical practice. This is a hands-on research role, you'll own research end to end on their vision foundation models and vision-language models (pretraining, post-training, RL, evals etc.), with models deployed to patients, not stuck in a lab.ResponsibilitiesPretrain & scale foundation models (VFMs, VLMs)Develop post-training & RL methods (reward models, RLHF etc.)Take ideas from 0 -> 1 through large-scale distributed trainingPublish research and shape the direction of medical AIRequirementsDeep expertise in Computer Vision, VLMs, VFMs, LLM post-training or RLExpert in Python, PyTorch or JAXLarge-scale distributed training experiencePhD or Publications (NeurIPS, ICML, CVPR etc. are a major plus)Why apply?Real impact: models already live in clinical practiceElite team: researchers from top AI labs (DeepMind, FAIR etc.)Proprietary data: one of the largest medical datasets in the industryTop-tier VC backing, recently out of stealthCompetitive base salary + equity🌎 San Francisco, CA (on-site) 📧 Interested in applying? Please click on the 'Easy Apply' button⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and intel