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Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering. - Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions.
$129,200 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Amazon’s CBA team is looking for Economists, who can work at the intersection of economics, statistics and machine learning; and leverage the power of big data to solve complex problems like long-term causal effect estimation.
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The College of Arts, Media, and Design welcomes candidates with expertise in the following areas: algorithmic justice; ethical and social implications of AI and HCI; misinformation and decline of shared information environments; social media and global media platforms; election meddling; injustice and lack of accountability in machine learning systems; online harassment and erosion of the public sphere; gig economy and digital labor.
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End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning.
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These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.
$50 - $55 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Java or Golang;•Effective communication skills and a sense of ownership and drive;•Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
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Experience in one or more of the following disciplines preferred: big data technologies and distributions, metadata management products, commercial ETL tools, Bi and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
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From Natural Language Processing, Query Understanding, Machine Learning, Ranking and Relevance, Big Data consumption all the way to complex experiences. Machine Learning and AI.
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
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Create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. You should be passionate about taking machine learning model inference algorithms into production.
$131,500 - $243,300 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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In at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models. Collaborate with cross-functional teams to understand business requirements and develop scalable, efficient machine learning solutions that improve content onboarding, search, recommendations, and voice interactions.
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You will help design the data science programs, machine learning models, and architecture to support Generative AI. Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights both internally & externally.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You have experience in backend engineering, data infrastructure, search infrastructure or natural language processing/machine learning. You'll improve search latency and relevancy using large scale data systems and machine learning.
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