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Deep Learning experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems. Knowledge of the lower levels of typical ML workflows from MLIR to LLVM all the way down to assembly language(s) is a plus.
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Gradient boosted trees, neural networks/deep learning, optimization) and a strong desire to further pursue natural language processing techniques, including LLMs. This position reports to the Senior Manager, AI in the Language Models team and has the opportunity to work remotely from any U.S. location, or flexibly from our Carpinteria, CA or Austin, TX office.
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Minimum of 5 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
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Use techniques which includes (but not limited to) Natural Language Processing, Machine Learning, Data Pipelining to build scalable models while also building Data Pipelines & platform to operationalize the models at scale using Domino Data-lab & Apache Airflow.
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Optimize deep learning frameworks like TensorFlow, PyTorch , etc. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Experience with computer vision or natural language processing a plus. Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or OozieExtract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance.
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Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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5+ years of proven experience leading technical products, including large, cross-functional, machine learning initiatives; with an emphasis on conversational AI, natural language processing (NLP), or related fields.
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We’re a team of AI, tech, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. We’re a team of AI, tech, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market.
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The technology arsenal includes Fully Human Capable AI Agents driven by Robotic Process Automation, Optical Character Recognition, Natural Language Processing, and Large Language Models, working together to deliver results for RCM departments.
$168,000 - $252,000ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Who you are: The ideal candidate has led programs productionizing ML-based systems in one or several of the following fields: Web search, Deep Neural Networks, Classification Systems, Clustering, Label Propagation, Natural Language Processing, Artificial Intelligence, LLM, Generative Models.
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Experience with natural language processing (NLP) and deep learning techniques. The ideal candidate will have the fortune to innovate at the AI frontier : LLM (Large Language Models), GPT (Generative Pre-trained Transformer), and RAG (Retrieval-Augmented Generation) models.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and natural language processing techniques. Work with the computational biology team to integrate the developed natural language interface with our multiomics database.
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natural language jobs in Austin, TX
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