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Staff Data Scientist, AI/Large Language ModelsEvisort is a leading innovator in the field of AI, specializing in the development and applications of NLP and Large Language Models (LLMs.
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Natural Language Processing (NLP): Experience in text analytics using models like BERT, GPT, or LSTM. Computer Vision: Familiarity with image recognition models like YOLO, Faster R-CNN, or Mask R-CNN. Experience with Machine Learning Frameworks: TensorFlow: Proficiency in developing and deploying machine learning models.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Stay up-to-date with the latest advancements in NLP and machine learning research, and integrate new techniques into our projects. The Principal Applied Scientist will work closely with other scientists, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Demonstrated proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, and deep learning. In-depth technical knowledge of cloud-native machine learning services (e.g. AWS SageMaker, Kendra, Neptune ML, etc.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, language modeling, pretraining, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and computer vision.
InternExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. Key QualificationsExperience in machine learning, deep learning, information retrieval, natural language processing or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C.
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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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Lead and Drive Data Initiatives: Take the lead in identifying, developing, and implementing advanced machine learning algorithms, particularly in NLP, to extract insights from structured and unstructured data sources.
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Experience with causal inference and causal machine learning techniques, and/or advanced machine learning algorithms such as deep learning, NLP, recommender system, network analysis.
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Additionally, they will participate in a wide variety of Natural Language Processing activities, building Machine Learning Models, AI Algorithms, code and design review. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Voice and Natural Language Processing: Focus on applying NLP, machine learning, and signal processing techniques for chat moderation, voice avatars, latency and bandwidth minimization, real-time natural-language translation, quality, Text-to-Speech (TTS)/Speech-to-Text (STT), accessibility, and 3D audio.
$254,270Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. + 2+ years of experience with machine learning, data cleansing, and statistical analysis.
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