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Your tasks will include: Designing, developing, and maintaining software systems that are integral to the deployment and functioning of Large Language Models and Generative AI. Collaborating closely with machine learning engineers to integrate AI models into scalable and efficient software solutions.
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Strong background in applied machine learning and deep learning; experience in speech, speaker, and/or language recognition a plus. Ph. D. in a Machine Learning or related field, or M.S. with 3+ experiences in the area of Speech/Language Processing or Machine Learning.
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Apply machine learning, deep learning, natural language processing, and other AI techniques to solve IT operations challenges such as anomaly detection, root cause analysis, incident management, and automation.
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Must have a degree in speech language pathology, be nationally certified and be eligible for a SLP California state license. Prefer 1 year experience as a speech language pathologist, with a strong preference for those with a pediatric background.
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Speech language pathologist, speech language pathology, speech therapist, SLP, speech and language therapy, speech therapy, allied, allied health, school speech language pathologist, school speech therapist, school SLP.
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Apply now and you will be eligible for Amazon Manager, Software Development positions that are based on your preferred location, team, tech stack, domain, language and more. As an Amazon Manager, Software Development, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable.
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Summary Posted: Aug 4, 2023 Role Number: 200474414 Are you interested in building amazing text input experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning?
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Experience working with mobile wireless technologies including Bluetooth, Wi-Fi or LTE.
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Hands-on experience in Large Language Models, Generative AI, NLP, Machine Learning and Deep Learning techniques. Deep Learning : Experience in fine tuning Large Language Models and Vision Models.
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This group is entrusted with developing core data mining, natural language processing, and machine learning solutions for AWS services. - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects.
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Programming for either hardware modeling or testbench development or projects of similar scope and complexity Logic design and representing the same in HDL (e.g. Verilog or VHDL) Assembly language programming and Instruction Set Architecture of a modern microprocessor Hardware Verification methodology and techniques such as simulation, debug, coverage, formal, etc.
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Experience programming in Go language. Google Cloud accelerates every organization's ability to digitally transform its business and industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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You have a strong understanding of various search, natural language processing, and machine learning technologies. As the Principal Product Manager for this area, you will set and drive the vision, strategy and execution to bring in best in class relevance and quality in our search and AI experiences.
$171,400 - $253,800 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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This role encompasses a broad range of responsibilities, from on-robot software development to overseeing cloud-based software infrastructure, as well as advancing machine learning, perception, SLAM, and large language models (LLMs.
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language job in Santa Clara, CA
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