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Publications or blog posts displaying excellent writing on data science or machine learning topics. Staff Machine Learning Engineer (Deep Learning) You will collaborate with company advisors from MIT and Harvard whose expertise span machine learning, medical imaging, and getting products successfully through FDA. We are looking for an individual with an exceptional Machine Learning background and track record of proven delivery who is not shy to take on extensive responsibilities.
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This role will focus on MLOps for training in large scale ML models of RNA and/or DNA. You will be part of a dynamic, cross-functional team responsible for developing and deploying machine learning models for sequence design.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Keywords: Cheminformatics, Computational Chemistry, Machine Learning, Artificial Intelligence, Computational Sciences, Drug Discovery, Pharmaceutical, Biotechnology, Boston, Cambridge, Massachusetts.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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With deep expertise in development of AI/Machine Learning/Deep Learning to join our team in developing a cutting-edge platform to identify and design new multi-specific medicines across a spectrum of therapeutic areas.
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Master's degree in software engineering, computer science or a related technical field with significant course or project work in machine learning, artificial intelligence, or data science.
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Familiarity with Docker, Git, ML development toolkits (e.g. PyTorch)Familiarity with training and adapting Machine Learning models, and familiarity with the Huggingface ecosystem and Transformer family of models.
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Desired Qualifications: Familiarity with Docker, Git, ML development toolkits (e.g. PyTorch) Familiarity with training and adapting Machine Learning models, and familiarity with the Huggingface ecosystem and Transformer family of models.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Master s or Ph. D. with experience in Machine Learning/Statistics/Data Science. Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Regularization, NLP, NLU, Ensemble Methods and Neural Networks.
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Pioneering Intelligence is building unique AI and machine learning know-how to augment the capabilities of Flagship companies and enable bigger leaps in human health and sustainability, amplify the process of creating breakthrough innovations, and originate new platform companies that build on innovations in machine learning.
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Assess current delivery of K-12 school social emotional learning practices, curriculum and resources in BPS by working with the OHW evaluation team. Lead the development and implementation of a comprehensive K-12 Tier 1 social emotional learning plan for the district.
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The purpose of the is study is the Integration of machine learning and genomics to predict outcomes for newly diagnosed, relapsed and refractory mature T-cell and NK-cell neoplasms: a global study of the PETAL Consortium.
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machine learning jobs Title: sr data Company: Wells Fargo Bank in Cambridge, MA
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