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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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5+ years research and/or development experience with speech recognition, speech translation, machine learning, data mining, natural language processing, pattern recognition.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
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Develop and implement machine learning algorithms along with scalable data processing and machine learning pipelines to solve business problems. PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science.
$260,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Profound expertise in machine learning, deep learning, and natural language processing, coupled with hands-on experience in developing and deploying state-of-the-art models at scale.
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This role is for a senior machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Machine Learning: SparkSQL, Java, Scala, Python, Jupyter. 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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Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. Fluent in English language (reading, writing, and speaking). Solid knowledge of performance tuning, database design, and T-SQL language.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity.
$134,000 - $222,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Metropolis is seeking a Senior Data Engineer, Machine Learning to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives.
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Strong software development and Machine Learning knowledge are both critical to this role. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
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The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy.
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2+ years experience leveraging knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, natural language processing (NLP), image recognition) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average (ARIMA), recurrent neutral networks (RNN), long short-term memory (LSTM) networks) to identify the best approach to complete objectives.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning natural language processing big data jobs Title: senior data scientist Company: Cardinal Health in Bellevue, WA
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