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Retail, Financial Services, Manufacturing, Technology, Artificial Intelligence, Machine Learning, Data Analysis, Healthcare, Natural Language Processing, Speech Recognition.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) Serve as the subject matter authority on all things machine translation and natural language processing.
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Familiarity with and knowledge of machine learning, natural language processing, text analytics, web data collection, and advanced data visualization is a plus.
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Our work spans many disciplines, such as information retrieval, natural language processing, and machine learning. Work with the DevOps team on defining the infrastructure requirements for data products to operate reliably at scale, serving analytics and machine learning, and other use cases.
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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. It’s the first and only personal training solution that can track your motion and use that data to give you a richer and more effective workout in live and on-demand classes.
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Completed a Bachelor’s and/or Master’s degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), NLP (natural language processing), Data Science or Mathematics.
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Build state of the art machine learning models which leverage deep neural networks, biomedical signal processing algorithms, etc. PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI.
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We have a strong preference for building our own backend technology, so you'll be implementing and working with the latest natural language processing (NLP) techniques and ideas. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap.
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Full Time] Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) at Hyper Online (United States) | BEAMSTART Jobs Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions.
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A journeyman who, without direct supervision, installs, operates, tests, adjusts, repairs and maintains natural gas compressor station and gas transmission facilities including, but not limited to, servicing, calibrating and testing of gas measurement and regulation pneumatic and hydraulic control systems and devices.
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You will draw on your expertise in machine learning, natural language processing, and deep learning, and how various Foundation Models, including multi-modal models, embody these technologies, to drive the success of our AI initiatives in terms of roadmap definition, architecture decisions and execution, delivering products that meet the needs of our customers.
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Advanced knowledge of clinical research, signal processing, time series analyses, EEG/ECoG/iEEG, advanced statistics, Python, brain stimulation therapies, neural modelling, biomarker development, and brain stimulation and recording techniques.
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Competitive salary & equity compensation for full-time roles. Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage.
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machine natural language processing full time data jobs in San Francisco, CA
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