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MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field. - Building end-to-end production system including query understanding and ranking to power search - Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing.
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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.
$145,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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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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The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.
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You bring in 2 to 3 years of experience, owning marketing science deliverables across a broad range of initiatives, and focusing on at least two of the following areas: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling.
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The Search and Browse Applied Data Science team builds the core relevance engine and Data Science products that power Targets Digital experience. Lead Data Scientist - Search and Browse (NLP, LLMs, Information Retrieval) page is loaded.
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M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldExpertise in applied ML for Search/NLP/IR/Product Knowledge Graph - both classical and deep learning based.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.
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You'll collaborate closely with our stellar Engineering, Data Science, Design, Sales, Marketing, and Success partners to understand our customers and build category-defining tools. Combined with the characteristics of Class B cross-border e-commerce procurement scenarios and based on the accumulation of AI large model technology, we explore a one-stop search innovation experience to solve the pain points in traditional search forms and expand user search needs.
$148,800 - $244,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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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. Bachelor's degree or above, majoring in Computer Science, or related fields, with 5+ years of experience building scalable system.
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Define shared vision, strategy and roadmap in close partnership with Business, Operations, Engineering, and Data Science teams. Driver Search and Matching is central to the Spark Driver platform, which offers last-mile delivery as a service to Walmart and its GoLocal clients via independent contractors.
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MS/PhD in Computer Science or related discipline with experience in the areas of data mining, information retrieval, machine learning and information extraction. We are the backend data engineering team for the eBay search engine.
$135,200 - $205,700Full-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in data science, machine learning, and analytics, including statistical data analysis and A/B testing. You will partner with Search engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
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