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Understanding of key libraries used for LLM and RAG development: for NLP models development (e.g., NeMo, DeepSpeed, HuggingFace), for deployment (e.g., TensorRT-LLM, Triton Inference Server) for Information Retrieval (e.g., RAPIDS, Milvus, Pinecone, Open Search.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Work with a team of incredible people who are passionate about data science, machine learning, search & personalization. An advanced degree (Undergrad, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10 + years of proven experience crafting optimization and machine learning solutions for large scale applications.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. You'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system.
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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, Call Center, and others across multiple business units and teams to define and develop AI-based solutions.
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5 or more years of experience executing data science projects involving advanced techniques (such as NLP, Generative AI, statistical analysis, predictive modeling, financial forecasting, data visualization, and machine learning) from beginning to end.
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Excellent communication, technical leadership, and project management skills as you will be the data science team expert in the search, AI, NLP, and LLM space. By innovating and implementing state-of-the-art machine learning, data science, and large language model solutions, you'll help shape the future of sustainable fashion retail.
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Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Tensorflow, Pytorch, etc.
$77,200 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work will involve building semantic search engines, LLM fine-tuning, Vector DB applications, and cutting-edge data science work. Understand business problems, making sense of the data landscape & footprint, performing a combination of Gen AI, Advanced NLP, Exploratory analysis.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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7+ year Experience in Search, Machine Learning, NLP, Large Language Models and applying these techniques at scale. 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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NLP libraries such as NLTK or SpaCy for processing text data. Natural Language Processing (NLP): To understand the context and sentiment behind content engagement and social media interactions.
$50,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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ETL (Extract, Transform, Load) tools for data integration. Aptitude for data and basic SQL database skills. Data Integration: Combining data from various sources to build a complete profile.
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Machine Learning, Product Design, Internationalization, Data Science, Personalization, Mobile, and Growth Marketing. This includes building scalable and performant recommender system and various NLP/LLM applications, and collaborating with our product team to build various personalized AI-driven user features.
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You will use a variety of information sources such as scientific literature, competitive intelligence, internal and external clinical trial databases and techniques such as specialist information search and analysis, data visualization and benchmarking to extract and present key relevant information for decision making.
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Experience working with one or more of the following: frontend or backend web development, data engineering, data analysis, data science, data visualization, machine learning, DevOps, site reliability engineering, and cloud architecture.
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We are investing in advanced technologies (Generative AI, NLP, ML) and critical search-related talent (engineering, product, data science, UX) to take our products to the next level.
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