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Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.
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As the “front door” of personalization and discovery, Search helps millions of listeners fall in love with the depth of our content catalog across Pandora and SiriusXM. In this role, you will leverage your expertise in machine learning, information retrieval, ranking, natural language processing, and recommendations to frame business goals as machine learning problems, research novel methods, and build machine learning systems for Search and Voice.
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Advanced knowledge in computer programming (preferably R or Python), machine learning, deep learning, natural language processing, and applied statistics. Other expected requirements are having advanced knowledge in computer programming (preferably R or Python), machine learning, deep learning, natural language processing, and applied statistics.
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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
$200,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Key job responsibilitiesAs a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media, while also responsible for creating and maintaining the best environment for applied science in order to recruit, retain and develop top talent.
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We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone.
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Currently has, or is in the process of obtaining, a PhD degree in Machine Learning (ML) Systems, Natural Language Processing (NLP), Machine Learning, Artificial Intelligence, relevant technical field, or equivalent practical experience.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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.
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Advanced proficiency in python programming and experience working with libraries like numpy, pandas and NLP (natural language processing) frameworks. Demonstrated experience working with cloud AI managed services like AWS Bedrock/SageMaker, AWS CloudWhisperer, and integrating large language models like Azure OpenAI, Google Vertex and open-source models.
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Designs and deploys machine learning and other data processing and analytical pipelines to build a strong foundation to manage ontologies for diagnoses, treatments, and lab data as well as extract meaningful data from notes using natural language processing algorithms, and data visualization through dashboards.
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2+ years’ experience in machine learning (ML), artificial intelligence (AI), and/or natural language processing (NLP) preferred. Excellent interpersonal, communication, and technical writing skills with the ability to effectively communicate data and methodologies in plain language with business audiences; can facilitate change management at all levels.
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Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines. Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, Google Cloud Platform, Azure.
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Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs. As a Data Scientist / ML Engineer, you will be the trusted technical ML expert and work with our data engineering team to architect production-grade ML applications on Databricks.
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Experience with Contact Center Technologies leveraging Advanced Voice Recognition, Conversational AI, and Natural Language Processing Experience with UI/UX development & design systems: CSS, Web Components, Less, Sass Experience or exposure in big data and event streaming technologies: Spark, Kafka, etc.
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Looking for experience with the following: DevOps, CI/CD, Docker, Kubernetes, AWS Sagemaker, GenerativeAI (GenAI - ChatGPT), Large Language Models (LLM), Natural Language Processing (NLP), Neural Network (NN, CNN), Deep Learning.
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