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This role requires proficiency in search engines, natural language processing (NLP), machine learning and statistical techniques. Experience in scripting language (Python, R) for data processing and development.
$137,500 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Our clients trust us to use natural language processing (NLP) and machine learning (ML) to deliver experiences like Search, Chat, Local Listings, and pages. Communicate data science and machine learning concepts to a variety of audiences (product managers, software engineers, executives, sales partners.
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Demonstrated 4+ years' hands-on experience with Python, SQL, Natural Language Processing (NLP), Large Language Model (LLM), TensorFlow/Pyspark/ or Keras is highly preferred.
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This role is responsible for planning and executing on key data engineering initiatives spanning our work in artificial intelligence, machine learning, search, natural language processing and product analytics.
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Hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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We are looking for a candidate with experience as a data scientist for machine learning and natural language processing problems. To make this vast amount of information more accessible, we have built a variety of tools including a search engine, a machine-learning-driven search intent classifier, an LLM-driven question -answering system and an ontology/ taxonomy all supported by reference data about companies, industries, and our analysts.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems. Practical experience building production quality applications related to natural language processing and machine learning.
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This role will have the opportunity to initiate and lead exciting projects to further the state of language understanding at Apple, and use data science, machine learning and analytical skills to solve challenging technical problems and ship novel products that will delight millions of people.
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Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc.
$145,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong understanding of relevant AI frameworks, tools, and programming languages (such as Python, Java, C , and Y) and the ability to apply data science and in-depth knowledge of machine learning, deep learning, natural language processing, and computer vision.
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Experience with natural language processing (NLP) Manager of Data ScienceAs a Data Science Manager, you will develop, design, implement, and deliver the primary data science and analytical product for all aspects of Machine Maintenance.
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Demonstrated industry experience in NLP (Natural language Processing) and Information Retrieval fundamentals. Lead Data Scientist - Search and Browse (NLP, LLMs, Information Retrieval.
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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 Today
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