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Research: Stay abreast of the latest advancements in computational linguistics, machine learning, and natural language processing, and apply cutting-edge techniques to drive innovation within the Siri ecosystem.
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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.
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FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
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Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning. Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.
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Combining Altera's industry-leading FPGA technology and customer support with Intel's world-class semiconductor manufacturing capabilities will enable customers to create the next generation of electronic systems with unmatched performance and power efficiency.
$259,425 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing. 3 years of experience with AI/ML algorithms and tools (e.g., TensorFlow), deep learning, or natural language processing or other Machine Learning.
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Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
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Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant.
$222,200 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Passionate about natural language understanding, information retrieval, or machine learning. You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer.
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We are a multidisciplinary algorithmic trading team with expertise in machine learning, numerical optimization, software engineering, distributed systems, electricity markets, and trading.
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Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Deep applied experience or academic expertise with 2+ of the following areas: ML, NLP, LLMs/RAG, deep learning, or statistical learning theory. We are partnering with community colleges and adult schools to build the only AI made just for ESL that fast tracks English language acquisition for last-mile workforce training and essential skills.
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If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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Experience with next generation sequencing, molecular biology techniques and automated liquid handlers. In this role, you will be responsible for performing high complexity laboratory testing for cancer detection via next generation sequencing and general Chemistry and Immunology testing (Generalist.
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Develop and deploy scalable and efficient machine learning pipelines for processing and analyzing large volumes of structured and unstructured data. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning.
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machine learning language processing next generation jobs Title: engineer Company: Quantum Technologies Usa in Sunnyvale, CA
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