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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 with machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch, Scikit-Learn, Knowledge of cloud computing platforms such as AWS, Azure, Google Cloud. We are looking for a Senior Machine Learning Engineer (Modeling) with deep expertise in measurement (just like you.
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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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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
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We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts.
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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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Experience applying machine learning techniques to build multi-modal multi-task sensor fusion architectures solving autonomous driving problems for our perception stack including object detection and tracking, segmentation, road understanding, flow estimation and future prediction.
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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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We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABasic qualifications- 4+ years of applied research experience- 3+ years of scientists or machine learning engineers management experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Experience programming in Java, C.
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ResponsibilitiesCollaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.
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2 years of experience related to new technology (Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digitizing the Engineering function with new technologies like Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.
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Proficient in cloud technologies (Databricks, AWS, GCP), with hands-on experience in creating Machine Learning Pipelines. Preferred: 4+ years of experience in NLP, Data/Machine Learning Science.
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Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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Similar Jobs (4) Machine Learning Architect, Firefly locations San Jose time type Full time posted on Posted 14 Days Ago Senior Machine Learning Engineer, Firefly locations 3 Locations time type Full time posted on Posted 14 Days Ago Sr ML Infrastructure Engineer locations San Jose time type Full time posted on Posted 5 Days Ago.
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machine learning jobs Title: learning architect Company: Iqvia in Seattle, WA
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