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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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Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling.
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Good knowledge of neural network, deep learning and optimization theory; Experience with Natural Language Processing (NLP) and/or Generative AI. This individual will act as the technical lead and collaborate with quants, strategic investment professionals to learn, propose, prototype and ultimately deliver scalable and effective solutions using machine learning, artificial intelligence, graph learning and LLMs etc.
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Prior experience / expertise with Natural Language Processing, conversational interfaces, dialogue management techniques; prior exposure to solving problems through artificial intelligence/machine learning solutions.
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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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AI/ML Development : Oversee the design, development, and deployment of scalable AI and ML models and platforms to support various biotech applications, including predictive modeling, image analysis, natural language processing, and computational biology.
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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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Design and apply machine learning algorithms and statistics models on complex molecular data, including genomics, metabolomics and proteomics data for research purposes. The Bioinformatician may also assist with the adaptation and testing of code for processing and analysis of sleep-related data, such as actigraphy, and for analysis of genomic and other omic data and may work with other Division faculty and staff to develop computer labs, workshops and written materials to assist the Division trainees in learning about clinical and epidemiological research.
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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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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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The candidate must have significant wet lab experience to design and test natural or synthetic polymeric systems including pre-clinical testing in vitro and/or in vivo. Positions are focused early career including the ranks of: Postdoctoral Research Associate or Associate Research Scientist.
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Develop and optimize digital signal processing (DSP) algorithms for FPGA implementation. Strong understanding of digital signal processing (DSP) and RF systems. Bachelor’s or Master’s degree (preferred) in Electrical Engineering, Computer Engineering, or a related field with a focus on signal processing.
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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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machine learning natural language processing jobs Title: senior data scientist Company: Inc in Boston, MA
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