Machine Learning Researcher — Storm3, San Francisco, CA

⚡ AI Research - Pre-training, Post-training, Reinforcement Learning

💡 Medical Imaging

🌎 San Francisco (on-site)

💸 $350k - $400k + equity

Join 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.

Responsibilities

• Pretrain & scale foundation models (VFMs, VLMs)

• Develop post-training & RL methods (reward models, RLHF etc.)

• Take ideas from 0 -> 1 through large-scale distributed training

• Publish research and shape the direction of medical AI

Requirements

• Deep expertise in Computer Vision, VLMs, VFMs, LLM post-training or RL

• Expert in Python, PyTorch or JAX

• Large-scale distributed training experience

• PhD or Publications (NeurIPS, ICML, CVPR etc. are a major plus)

Why apply?

• Real impact: models already live in clinical practice

• Elite team: researchers from top AI labs (DeepMind, FAIR etc.)

• Proprietary data: one of the largest medical datasets in the industry

• Top-tier VC backing, recently out of stealth

• Competitive 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 and follow the Storm3 LinkedIn page for the latest jobs and intel