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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
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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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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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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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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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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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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. Propose, prototype, and deliver to new methods and machine learning models to multiple production environments including Linux and mobile (iOS, Android.
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Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. A USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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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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Familiarity with and knowledge of machine learning, natural language processing, text analytics, web data collection, and advanced data visualization is a plus. In addition, the Data Scientist II uses casework experience to identify and develop new capabilities and reusable code in areas such as text analytics, web data collection, data visualization, and machine learning and disseminate those capabilities within the firm.
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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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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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Proficiency and experience in applied statistics and machine learning fields e.g. Experimentation and Causal Analysis, Recommendations, Fraud & Anomaly Detection, Natural Language, Computer Vision.
$178,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Head of Machine Learning & Data Science (US/KR)Executive Director, Head of Data & AI Governance and Policy, R&DHead of Computational Science & Data Strategy, ResearchExecutive Director, Head of Data & AI Governance and Policy, R&DPlatform Head, Data & Software Engineering Visit the Career Advice Hub to see tips on interviewing and resume writing.
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Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models. We’re hiring our first Machine Learning Engineer. Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
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machine learning natural language processing full time engineering jobs in San Francisco, CA
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