Member of Technical Staff, AI Research – Radiology Foundation Model
Hybrid (San Francisco, CA)$150k - $320kFull-timePosted 5mo ago
About the role
Role focused on VLM architecture, training, and evaluation for radiology workflows, including clinical validation and large-scale dataset curation within Eden’s radiology foundation model program.
Responsibilities
- What you\'ll work on: VLM architecture, training, and evaluation for radiology workflows. Clinical validation and dataset curation at a scale most researchers never get access to.
Qualifications
- PhD in CS, EE, or a related quantitative field preferred. What you\'ve shipped and published matters more.
- You've trained non-trivial VLMs or LLMs end-to-end. Pretraining, large-scale SFT, continued pretraining, or post-training (RLHF / DPO / GRPO). Research or production both count.
- Experience with large-scale distributed training (e.g., FSDP or DeepSpeed), FlashAttention, mixed precision, activation checkpointing, efficient data loading, and efficient evaluation.
Skills
Required:VLM/LLM trainingDistributed training
Nice to have:DICOM/PACS (bonus)
Last updated Sep 9, 2026. Interested? Apply on the company site.
About Eden
Digital platforms that enable an outstanding patient experience
Using infrared technology, we provide a non-invasive, painless, private, and accurate adjunct breast cancer screening in under 10 minutes. Our Eva Centers are located in shopping centers.
digital-healthhealthcare