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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Educational Requirements:Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will play a key role in our Advanced Technology Group "ATG.
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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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Essential SkillsBachelor's / Master’s or degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Responsibilities:Data Science Strategy: Develop and implement Statistical, Machine Learning, Deep Learning, NLP, Gen AI modeling, development and fine-tuning strategies, best practices, and standards.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
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Bachelor's degree in physics, applied mathematics, scientific computation, computer science, materials science and engineering, or a related field with 5 years of relevant experience (3 years with an M.S. or 0 years with a Ph. D.
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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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Advanced degree in Computer Science, Engineering, Mathematics, Computational Statistics, Operations Research, Quantitative finance or related technical fields. Good knowledge of neural network, deep learning and optimization theory; Experience with Natural Language Processing (NLP) and/or Generative AI.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Candidates are being sought in the areas of applied communication systems and signal processing, autonomous systems, quantum computing, circuit design, and applications of machine learning.
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Masters of Science or Ph. D. in Image Processing or Digital Signal Processing preferred. Bachelors of Science degree in Electrical Engineering, emphasis in Signal Processing or equivalent.
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Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience. Grainger Technology Group seeks an innovative Manager of Applied Machine Learning to build out new efforts supporting our advantaged data assets around customers and sellers.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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machine learning applied mathematics computer science signal processing jobs Company: Amazon in Anoka, Minnesota
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