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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. This role is for a senior machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
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Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
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Technical leadership entails influencing search indexing, Search algorithms, recommendation algorithms, relevance & ranking, visual search, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, search UX, and overall Adobe Cloud ecosystem.
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Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining. MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related field.
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A Data Scientist’s function is multifaceted, frequently overlapping with other data related positions such as Machine Learning Engineer, Data Engineer, and Data Analyst.
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Experience in recommendation systems, online advertising, ranking, search, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
$145,000 - $355,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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In addition to traditional DSP, Sound, and Image Processing tools, the lab should extensively leverage artificial intelligence, machine learning & data mining, and natural language processing tools and techniques.
$310,100 - $385,900 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Must have 2 years of experience in Linear Algebra, Statistics and Machine Learning; Python; ML models and algorithms, such as anomaly detection, clustering, multiclass classification with booster algorithms; Building machine learning models, pipeline (java skill), and deployment; Natural language processing, computer vision, data mining; and Tech stack: Scikit-learn, Tensorflow, Pytorch, MLflow, Kubeflow, Databricks, Snowflake.
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Experience in machine learning, deep learning, information retrieval, NLP, or data mining. Experience with Large Scale Data-Mining and/or Machine learning. Responsibilities include analyzing search ranking and relevance, developing Large Language Models, conducting applied research in generative AI, building machine learned models, integrating search functions into Apple products, and utilizing distributed data processing tools.
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Big Data Offline Processing systems like Apache Spark, Pig, Hadoop or others. Lead the technical direction for search / recommendation query services, search indexing, data mining, Search algorithms, Visual Search & deep learning in the context of the next generation Search & Discovery platform for Adobe.
$118,500 - $219,100 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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FedML supports vertical solutions across a broad range of industries (healthcare, finance, insurance, automotive, advertising, smart cities, IoT etc,) and applications (computer vision, natural language processing, data mining, and time-series forecasting.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
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Apply data mining and machine learning to improve the ranking and recommendations as part of search work-flow. Work on Search algorithm, web services, search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe Clouds such as Creative Cloud, Document Cloud and Marketing Cloud.
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Big data processing technologies like Apache Spark. natural language processing (NLP) and text mining. The ideal candidate will have a strong background in machine learning, data analysis, and programming, along with excellent problem-solving and communication skills.
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