Deep Learning Scientist at well-funded biotech AI startup

You will design and implement state-of-the-art computer vision models to interpret complex biological and optical data. Working at the intersection of deep learning and life sciences, you will translate research concepts into scalable models that address critical diagnostic challenges, collaborating with cross-functional teams to validate biological relevance and technical performance.

Well-funded biotech AI startup

• Develop, train, and optimize advanced deep learning architectures including CNNs and Vision Transformers for microscopic imaging data.
• Implement state-of-the-art methods from latest research and adapt them to robust, translational biomedical contexts.
• Collaborate with microbiologists and physicists to design experiments and ensure models deliver actionable scientific insights.

• Strong foundations in Deep Learning theory and experience with architectures like ViTs, Diffusion models, and self-supervised learning.
• Proven expertise in Computer Vision tasks such as segmentation, detection, and contrastive learning within biomedical or imaging domains.
• Mastery of the PyTorch ecosystem and a commitment to modular design, reproducibility, and clean coding practices.

• Work on high-impact projects at the frontier of biophotonics and artificial intelligence with significant real-world applications.
• Join a fast-growing team backed by top-tier VCs and major global technology initiatives.
• Benefit from a flexible hybrid work environment with comprehensive perks including professional development budgets and team gatherings.