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Neural Network Jobs in State of Washington

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Search Results - Neural Network Jobs in State of Washington
Jobs for Humanity-Bellevue
Preferred Qualifications PhD in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field 6+ years of experience in a data science role or similar Familiarity with neural network (Keras, TensorFlow...
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Amazon-Redmond (WA)
neural networks)  •  Experience working with software developers and product managers  •  Experience with structural demand modeling, subscription-based businesses, conjoint modeling and survey design Amazon is committed to a diverse and inclusive workplace...
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Tiger Analytics-Seattle
Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance. 5 plus years of hands-on...
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Amazon-Seattle
to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3, ...), various ML algorithms and techniques (Random Forests, Neural Networks, supervised/unsupervised/semi-supervised/reinforcement learning...
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Amazon-Bellevue
for a Senior Manager of Applied Science who will help us build next-level solutions in a full warehouse with the help of generative AI, graph neural networks, and LLMs. Together, we will be pushing beyond the state of the art in simulation and optimization...
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Amazon-Redmond (WA)
neural networks)  •  Experience in building statistical models using R, Python, STATA, or a related software  •  Experience in analytics and applied economics  •  Experience with marketing measurement and decision science- Experience in developing and executing...
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Amazon-Seattle
This will include the development of state-of-the-art time series and survival models leveraging deep learning techniques such as Graph Neural Networks, Recurrent Neural Networks, and Transformers. Working on a cross functional team, you will collaborate closely...
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Amazon-Seattle
vision to solve business-relevant problems  •  Experience in industry, consulting, government or academic research  •  Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks) Amazon...
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Amazon-Seattle
alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models...
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Amazon-Seattle
scientific advancements in machine learning, neural networks, natural language processing, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems  •  Keep...
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Amazon-Seattle
Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA. Key job responsibilities We are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data...
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Amazon-Seattle
/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender Systems...
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Amazon-Seattle
and be exposed to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3, ...), various ML algorithms and techniques (Random Forests, Neural Networks, supervised/unsupervised/semi-supervised/reinforcement...
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Amazon-Seattle
forecasting models using machine learning techniques such as transfer learning, neural networks, and time series models, driving decisions for pricing, promotions, and supply chain optimization.  •  Write efficient, scalable production code (Python or equivalent...
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Amazon-Seattle
across countries and languages. The ideal Applied Scientist candidate has deep expertise in one or several of the following fields: Web search, Applied/Theoretical Machine Learning, Large Language Models, Deep Neural Networks, Classification Systems...
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