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Computer Vision Engineer
Il y a 2 mois
{"h3": "Unlock AI Applications in Biomedical Innovation", "p": "At Bioptimus, we are seeking a talented Computer Vision Engineer to join our team and contribute to the development of foundation models for biomedical research. As a key member of our interdisciplinary team, you will work closely with machine learning and biomedical experts to build cutting-edge models that unlock AI applications in healthcare.", "ul": [{"li": "Drive the implementation and application of advanced machine learning methods, particularly in foundation models, representation learning, large language models, and generative AI, to relevant internal and external projects."}, {"li": "Contribute to methodological research in key areas to unlock novel applications in collaboration with research scientists."}], "h3": "Requirements", "ul": [{"li": "Overall understanding of the field of generative AI, knowledge or interest in fine-tuning and using language models for applications."}, {"li": "Excellent knowledge of vision model architectures and demonstrated advanced practical expertise."}, {"li": "Strong analytical skills."}, {"li": "Excellent command of coding in Python, and excellent grasp of programming best practices."}, {"li": "Passionate about the intersections of healthcare/biology and AI."}, {"li": "MSc or PhD in a Computer Science-related field (machine learning, applied mathematics, computer science, software engineering) or equivalent experience."}, {"li": "Strong expertise with deep learning frameworks (TensorFlow, PyTorch, JAX, etc.): you should already master one of these frameworks and have implemented large neural networks in an industrial environment or equivalent."}, {"li": "Excellent written and oral communication skills."}, {"li": "Highly organized and meticulous about details; capable of tackling complex problems logically and effectively."}], "h3": "Nice to Have", "ul": [{"li": "Experience in developing self-supervised learning methods for images."}, {"li": "Experience in developing multimodal models (e.g., image + text)."}, {"li": "Experience in training vision models at large scale (>1B parameters model)."}, {"li": "Experience in biological data analysis: proteins, bulk or single-cell omics, histopathology, etc."}, {"li": "Extensive post-master or good level of post-doctoral experience; or equivalent industry experience."}, {"li": "Experience managing multi-stakeholder research projects."}, {"li": "Publications in high-impact journals (JMLR, TMLR,...) and conferences (NeurIPS, ICLR, ICML,...)."}], "h3": "Remote Work Guidelines", "ul": [{"li": "You should be able to attend retreats and events in the Paris office (around once a quarter)."}, {"li": "Remote applicants are expected to have at least a 5-hour overlap with the team in Paris."}, {"li": "Since we also value in-person work and collaboration, all things being otherwise equal, we will prefer candidates that can connect on a regular basis with the team in Paris."}]
