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Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models. Collaborate with cross-functional teams to understand business requirements and develop scalable, efficient machine learning solutions that improve content onboarding, search, recommendations, and voice interactions.
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This role requires proficiency in search engines, natural language processing (NLP), machine learning and statistical techniques. Analyze data and documents from enterprise applications and other data sources to support knowledge management capabilities of search & discovery and information retrieval.
$137,500 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You’re experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, NLP, and Reinforcement Learning.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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You have experience developing impactful solutions to machine learning & NLP problems involving some or all of the following parts of the pipeline: data extraction, developing and training machine learning models, working the new model into production applications.
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Press Ganey is looking to hire a self-motivated senior machine learning data scientist with NLP experience. Build, test, and deploy learning models on language datasets, writing sophisticated data analysis and machine learning code in Python and seeing models through to production.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We use the best machine learning techniques to simplify product discovery for animal lovers looking for their pet needs on Chewy.com. Our outstanding multi-disciplinary team of data scientists, data engineers, software/front-end engineers, and product managers work together to power personalized recommendations and search for pet parents.
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The Artificial Intelligence group is the central engineering group responsible for driving Machine Learning (ML) adoption at Bloomberg, with over 200 researchers and engineers working together to provide clients with the best-in-class news, research, market data, and analytics using innovative machine learning technology.
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Machine Learning, Product Design, Internationalization, Data Science, Personalization, Mobile, and Growth Marketing. Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
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We’ll also promote innovative thinking as well as the opportunity to utilize cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems at Target.
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
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Proficient in using Jupyter Notebooks for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Incorporate user signals, machine learning and other data or tools to build a search service that continuously learns and improves. Experience with Elasticsearch, Machine Learning and NLP.
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Engage with Machine Learning Engineers to determine how data quality variations influence LLM model performance. Strong understanding of machine learning principles, especially in the context of NLP and LLMs.
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7+ year Experience in Search, Machine Learning, NLP, Large Language Models and applying these techniques at scale. In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems.
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