Research Engineer / Research Scientist, Vision-Language Model Pretraining

What you'll do

• Design, pretrain, and scale models, architectures, and training methods for medical imaging.
• Lead research from experiment design through distributed training and evaluation, then hand off models to post-training.
• Develop evaluations for visual understanding, grounding, generalization, and downstream performance; publish research findings.

What they ask for

• Deep expertise in vision-language models, multimodal learning, or large-scale foundation model pretraining.
• Demonstrated ability to develop, train, or improve state-of-the-art machine learning models; strong understanding of VLM architectures, training objectives, and alignment.
• Experience with large-scale distributed training using PyTorch or JAX.
• Ability to independently formulate research questions and experiments, with strong engineering skills implementing and extending research ideas.

Nice to have

• Publications at leading ML or computer vision conferences, or experience developing/scaling models such as LLaVA, Qwen-VL, or InternVL.
• Experience in high-resolution imaging, visual grounding, 3D/volumetric data, multimodal data curation, or medical/scientific imaging.

Tools

PyTorch, JAX, LLaVA, Qwen-VL, InternVL

AI focus

Pretraining multimodal vision-language foundation models for medical-image understanding, visual grounding, and radiology report generation.