Emplois actuels liés à Machine Learning Researcher - Brussels - Montash
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Machine Learning Engineer
il y a 2 semaines
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Expert Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Researcher
Il y a 34 minutes
Job Title: Machine Learning ResearcherLocation: Brussels, Belgium (Hybrid)Language: English (French or Dutch a plus)Role OverviewWe are supporting a leading semiconductor organisation based in Brussels that is expanding its advanced research capabilities. They are seeking a Machine Learning Researcher to work at the intersection of machine learning, data science, and semiconductor technology.This role is research-driven, with a strong focus on developing novel ML models and algorithms that can be applied to complex, real-world engineering and manufacturing challenges. You will collaborate closely with research scientists, engineers, and product teams to translate theoretical work into practical impact.Key ResponsibilitiesConduct applied and fundamental research in machine learning and related areasDesign, develop, and evaluate ML models for complex datasets generated from semiconductor processes and systemsExplore topics such as deep learning, probabilistic models, optimisation, and time-series or signal-based dataTranslate research outcomes into prototypes, proofs of concept, or production-ready solutionsPublish findings internally and externally (papers, technical reports, patents where applicable)Collaborate with cross-functional teams including hardware engineers, data engineers, and software developersStay current with state-of-the-art research and emerging trends in machine learning and AIRequired Skills and ExperienceAdvanced degree (MSc or PhD) in Machine Learning, Computer Science, Mathematics, Physics, Electrical Engineering, or a related fieldStrong theoretical understanding of machine learning algorithms and statistical methodsHands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, or JAXExperience working with large, complex, or noisy datasetsSolid foundations in mathematics, including linear algebra, probability, and optimisationAbility to clearly communicate complex ideas to both technical and non-technical stakeholdersNice to HaveExperience applying ML in industrial, scientific, or engineering environmentsBackground or exposure to semiconductor manufacturing, electronics, or hardware systemsPublications in peer-reviewed conferences or journalsExperience with high-performance computing or cloud-based ML workflows