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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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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
$175,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 10 years of experience in Data Science, with substantial experience in AI/ML engineering.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, LLM, ranking systems, recommendation systems. - Encompass the development and fine-tuning of NLP strategies like query understanding, semantic mining, LLM algorithms, knowledge graph, and multi-model text/photo/video comprehension, etc.
$112,065 - $172,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior ML Research Engineer, Apple Services Engineering - Search Science. The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows.
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Experience with large language models, NLP/Data science, Machine learning; Bots; AI Chatbot. Design and implement Omni channel environments, including integration with salesforce, marketing cloud, Nice CXOne, NLP BOTS.
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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , Unspecified.
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Conduct research on Natural Language Processing (NLP), Large Language Model (LLM) and Foundation Models to address academic and industrial challenges in AI fields. As a part of our global research unit, our Natural Language Processing group is responsible for advancing Natural Language Processing (NLP) technology, particularly Large Language Models (LLMs), for industry applications.
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Multifaceted NLP work including: LLM prompt, response, and chat analysis; document retrieval data and analysis; metadata collection and augmentation using machine learning techniques; LLM data sample categorization using prompt engineering techniques; outlier/noise detection.
$168,000 - $264,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Similar Jobs (5) Senior Software Engineer, AI Developer Tools - Cloud Software locations 2 Locations time type Full time posted on Posted 30+ Days Ago Developer Technology Engineer, Quantum Computing locations 6 Locations time type Full time posted on Posted 30+ Days Ago System Software Engineer, Data Center Networking - Cloud Services AI locations US, CA, Santa Clara time type Full time posted on Posted 29 Days Ago.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a member of the Data Science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other data analysts to drive product impact. Lead the team in designing and analyzing various A/B experiments within the search business, evaluating product optimization outcomes, assessing market activity impact, analyzing fluctuations in key metrics, and establishing data systems.
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Proficiency in ML/Data Science/Statistical Modeling languages such as Python, R to build Propensity Models, Customer Segmentation, Churn Scores, Forecast Models etc. 3+ years of expertise with modern data science workflows on the cloud (Git, Jupyter, Python, AWS, Azure.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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