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The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers. The machine learning engineer will work and mentor a team of researchers in searching for patterns hidden in large data sets for research in neurology.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Design and apply machine learning algorithms and statistics models on complex molecular data, including genomics, metabolomics and proteomics data for research purposes. The projects may require advanced knowledge of various statistical methods and machine learning algorithms.
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Familiarity with patent prosecution in electrical engineering, software-related technologies, data science/AI, networking technologies, machine learning/artificial intelligence, and hardware security is preferred.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Our founding team holds multiple machine learning patents and brings experience from Facebook, LinkedIn, Rakuten, and Microsoft. You’ll get competitive compensation, sweet offsites, company-provided health insurance, mobile-phone reimbursement, and a culture of learning and growth.
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Knowledge of big data analytics: supervised/unsupervised machine learning, neural networks, deep learning, streaming & batch analytics. We anticipate, lead, and believe that listening is where learning begins.
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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
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As a Software Engineer on our Learning team, you will be building out interactivity and interoperability features to give learners the best-in-class experience. We’re looking for a savvy developer to join our passionate engineering team as a Software Engineer II and help us scale and grow our cloud-based systems and technologies with a keen eye towards software quality and operational excellence.
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Science or a related field plus one (1) year of experience as a Data Analyst or a related occupation performing advanced analytics using predictive modeling and machine learning algorithms.
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As a Senior Machine Learning Engineer you will build the algorithms and models which solve our customers' toughest problems. Postdoc in Computer Vision, Machine Learning, Robotics or related field.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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Strong background in Mathematics with a focus on areas relevant to Machine Learning (Linear Algebra, Calculus, Statistics, and Probability Theory) We are looking for a researcher with a strong understanding of ML theory and who is skilled in developing novel deep-learning approaches to drug discovery and development.
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machine learning jobs Title: devops engineer Company: Amazon Corporate Llc in Quincy, MA
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