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Deep familiarity with one or more of the following areas at scale: Lucene-based search systems (ElasticSearch or Solr), search ranking and retrieval, data science, or information taxonomy.
$127,000 - $165,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructure. Prior experience building machine learning systems in production such as enabling data analytics at scale.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in natural language processing, search and recommendation, and machine learning with a passion for data-centric machine learning. Ph. D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics, related field; or equivalent experience.
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Experience with machine learning/big data at scale (GPU, Docker and Kubernetes) Specific Skillset We're looking to augment our existing team with someone who has deep experience in managing a large Elasticsearch cluster indexing machine learning vectors that power many features in our product including dataset search.
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Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning and search technologies. Theoretical and practical experience with modern machine learning algorithms and tools, including deep learning and NLP.
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Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation and serving. - Technical leadership in large-scale machine learning, deep learning, and large language models for recommendation systems.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing. Staff Software Engineer, Machine Learning, Search.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Deep familiarity with one or more of the following areas at scale: Lucene-based search systems (ElasticSearch or Solr), search ranking and retrieval, data science, or information taxonomy Bachelor or advanced degree in computer science or a related field or equivalent experience.
$127,000 - $165,000 a yearFull-timeExpandUpdated 19 days ago - UpvoteDownvoteShare Job
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Whether you join our Statistics, Optimization, Advanced Algorithms or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Search, Personalization, GenAI, Marketing, Supply Chain Optimization, Network Security rely on.
Full-timeExpandUpdated 21 days ago - UpvoteDownvoteShare Job
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These new experiences are powered by a large-scale deep learning-based enterprise search and question-answering systems built by the team, which processes billions-to-trillions of data items and serves millions of end users in millisecond latency.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
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