ML Research Engineer – Scientist

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Foundation models capable of analyzing an entire CT study rather than just a single slice.

• Vision-language learning that connects visual data to the terminology radiologists use in their reports.

• A unified model designed to detect multiple urgent findings simultaneously, calibrated for safe operation alongside radiologists.

• Training and evaluation conducted at a scale that most researchers rarely experience.

• Research that leads to real-world applications: your models contribute to FDA submissions, hospital implementations, and patient care.

⛳️ Requirements

• You utilize PyTorch as effortlessly as others use a notebook, with expertise in custom architectures, training loops, and distributed training.

• You grasp the underlying principles of why a loss function or an architecture is effective, not just the mechanics of how to implement it.

• You independently design and conduct your own experiments without needing direction.

• You prioritize rigor and reproducibility, understanding that these models have significant clinical implications.

• Helpful, but not mandatory: experience with medical imaging, 3D or volumetric data.

• Familiarity with vision-language models or self-supervised learning is a plus.

• Background in DICOM, CT, or radiology is advantageous.

• A PhD or relevant publications are highly valued, although not a strict requirement.

🏝️ Benefits

• Competitive base salary plus equity.