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Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions. As a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are hiring a Machine Learning Engineer/Data Scientist in either Bellevue, WA, Boston, MA or remote. An advanced degree (Undergrad, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10 + years of proven experience crafting optimization and machine learning solutions for large scale applications.
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Scientist I Machine Learning for Generative Shape Modeling - Careers at Allen Institute Back To Openings Scientist I – Machine Learning for Generative Shape Modeling Department: CS - Computational Cell Science Start Your Application Scientist I – Machine Learning for Generative Shape Modeling.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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The Managing Director of Experiential Learning will also oversee the operation of the law school’s Externship Program, including the cultivation and advertising of externship opportunities for students, the design and delivery of the curriculum for externship workshops to support students’ professional development and ensure compliance with externship standards set by the American Bar Association.
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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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Provide consultation and training to child care and early learning educators on a variety of health and safety issues for children that contribute to communicable disease prevention and elevate child development and well-being.
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Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms. Experience in building and deploying statistical machine-learning models, such as linear regression, logistic regression, GLM, GAM, etc.
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Working knowledge (or interest in learning) BIM and/or CAD software platforms (such as AutoCAD, Revit, Bentley OpenBuildings, MicroStation) Working knowledge (or interest in learning) 3D FEA structural analysis computer design tools (such as ANSYS.
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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.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You'll enjoy hands-on lab work, collaborating with a team, learning technical topics, working across multiple technical domains, and be uniquely positioned to help us reach the next horizon in quantum computing.
$144,800 - $190,050 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This position will be based at our Seattle Headquarters and report to our E-Learning Manager. Collaborate with E-Learning Manager to set creative direction for training deliverables. Develop, produce, edit and deliver high-quality, innovative multimedia assets (video, graphics, audio, motion/animation) for a variety of e-learning solutions and other training-related materials.
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Proficient in cloud technologies (Databricks, AWS, GCP), with hands-on experience in creating Machine Learning Pipelines. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.
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Priority will be given to candidates in either one of two areas of special interest: (1) scalable synthesis, analysis and implementation of materials relevant to Quantum Information Science and Engineering (QISE), and (2) development of biomedical imaging materials and related technologies (e.g., computational modeling and machine learning) for disease diagnosis and treatment.
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learning job Title: learning architect Company: Inc in Seattle, WA
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