Scientist / Senior Scientist, Multimodal AI

We are looking for a technical specialist who thrives on solving "unsolvable" problems through code and rigorous experimentation. We are open to candidates at the Scientist I, Scientist II, or Senior Scientist level based on technical expertise.

- Education: PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.

- Hands-on CV Expertise: Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).

- Distributed Training: Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.

- Programming Mastery: Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.

- Scientific Contributions: A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks.

- Direct experience with Multimodal Fusion (e.g., aligning image embeddings with transcriptomic or proteomic data).

- Proficiency with cloud-native AI tools (AWS/GCP, Kubernetes, Docker) and building automated MLOps workflows.

- Experience handling the unique noise and sparsity of biological data.