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Senior Machine Learning Engineer

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Job Title: Senior Machine Learning EngineerAbout Insilico Insilico Medicine is an end-to-end, artificial intelligence (AI) -driven pharma- biotechnology company with a mission to accelerate drug discovery and development by leveraging our rapidly evolving, proprietary platform across biology, chemistry, and clinical development. For more info, visit our website Role Insilico Medicine seeks a Senior Machine Learning Engineer for the Chemistry42 product a comprehensive small-molecule drug discovery platform.Place of work3710-1250 René-Lévesque West Boulevard, Montréal, QC-H3B 4W8, CanadaReports toML team leaderResponsibilitiesConduct ideation, research, and development of state-of-the-art AI-driven systems for small molecule design.Spearhead initiatives to advance and refine our suite of AI tools for small molecule generation, screening, simulation, and prediction.Architect and engineer AI-powered feature prototypes for the Chemistry42 platform, enhancing product discovery and user growth.Champion the optimization and support of critical AI components within the platform, ensuring scalability, efficiency, and effectiveness.Requirements Education Ph.D. or M.S. in Computer Science, Artificial Intelligence, Data Science, Computational Chemistry, Medicinal Chemistry, or closely related fieldsExperience and Required Skills At least five years of experience in ML engineering and PythonAt least two years in a senior/lead positionExtensive experience and a strong background in AI/ML/DL: transformers, GNNs, diffusion models, RNNs, CNNs, GANs, VAEs, flow-based generative models, reinforcement learning, evolutionary algorithmsBe experienced in Pytorch, Numpy, Pandas, Scikit-Learn, LangChain, JupyterLab, Plotly, Git, AWS, W&BAn ability to quickly test hypotheses with prototypes for product R&DAbility to work under pressure with tight deadlinesMotivation to learn new things fast and improve the product with AI solutionsDesirable SkillsBackground in chemistry or chemoinformaticsSuccessful experience in ML competitions (Kaggle, etc.)Proven track of publications in machine learning for drug discoverySkills and mindset for feature/component/product ownership