Tech Lead - Vision-Language Modeling

February 14

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Floy

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Floy develops AI-driven software that supports radiologists in detecting complex and hard-to-identify diseases. The collaboration of Floy-AI and radiologists ensures optimal patient outcomes by enabling the early detection and thus early treatment of diseases.

51 - 200 employees

📋 Description

• Lead cross-functional initiatives with radiologists, biologists, and software engineers. • Design, implement, and optimize cutting-edge Vision-Language and LLM architectures. • Generate IP by pushing beyond published SOTA in computer vision, medical imaging, and LLMs. • Curate, preprocess, and manage complex radiological datasets at scale. • Employ best practices in MLOps for seamless data pipelines and continuous model delivery. • Remain up-to-date on the latest breakthroughs in multimodal learning and medical image processing. • Translate emerging academic research into robust, real-world clinical applications. • Mentor junior team members and foster a culture of scientific rigor, creativity, and relentless curiosity.

🎯 Requirements

• PhD in Computer Science, Machine Learning, or a related field or Master’s with significant industry experience. • Must have built, deployed, or significantly contributed to LLM or Vision-Language architectures in production. • Strong grasp of attention mechanisms, Transformers, and multimodal fusion methods. • Proven expertise in Python with deep proficiency using PyTorch or TensorFlow. • Solid understanding of distributed training, GPU acceleration, and HPC environments. • Track record of peer-reviewed publications at renowned ML/CV/NLP conferences. • Experience working with large and uncleaned data. • Strong written and verbal communication skills in English. • Good-to-have: Experience with volumetric medical imaging (CT/MRI) and biological contexts. • Experience working with medical experts and medical background knowledge. • Basic German skills to understand radiology reports. • Exposure to data engineering and MLOps.

🏖️ Benefits

• Pioneer medical AI to maximize human health. • Flexible remote team culture. • Company retreats. • Fair compensation.