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Apply natural language processing (NLP) tools to the extraction of information from structured and unstructured test results. Experience with scientific Natural Language Processing / Text Mining technologies.
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Natural Language Processing (NLP) for text analysis. Cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing. Marken is currently seeking an experienced Data Scientist to join our team, someone who is passionate about data-driven insights and has expertise in problem-solving, programming, statistics, machine learning, data analysis, data visualization, and exceptional storytelling skills.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. 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.
$231,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing. We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our CUTLASS open-source project showcasing performant matrix multiply on NVIDIA’s Tensor Cores with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.What you'll be doing:Writing highly tuned compute kernels, mostly in C.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Our company’s goal is to democratize access to machine learning and make the results easily accessible to people with no prior background in advanced statistics or natural language processing.
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AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
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Senior Software Engineer, Infrastructure, Google Cloud Storage. 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.
$157,000 - $235,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Proficiency in code and system health, diagnosis and resolution, and software test engineering. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. Strong track record of working with language modeling technologies.
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Contribute to the development of features that utilize machine learning models or natural language processing. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education.
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We work on building large language models & machine learning systems. Pienso is a low-code / no-code interactive deep learning platform that allows collaboration between data science teams and subject matter experts within their own enterprise.
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DE integrating virtual assistance and customer service conversation platforms to build and optimize predictive models that leverage on-device Deep Neural Networks and Convolutional Neural Networks for speech recognition, audio spectrogram analysis, Natural Language Processing (NLP), Tensorflow, and Keras using Apple’s Core Machine Learning (ML) framework; and recognizing user intent using Python Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) Networks.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
Part-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Our consumer products and cloud platforms are giving millions of users at homes, businesses, universities and nonprofits around the world the tools that shape their web experience. 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
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