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ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience. Position Description: Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
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Our classes span the full spectrum of computer science and data science such as machine learning, systems, artificial intelligence, algorithms, databases, data analytics, computer vision, graphics, gaming, modeling, natural language processing, and many others.
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The DarkStar Group's team is charged with taking commercial and academic innovation high-side, in domains of Artificial Intelligence / Machine Learning (AI / ML) such as Computer Vision (Image and Video Processing), Natural Language Processing (NLP), and Audio Modeling.
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Partnering areas may include statistical modeling, machine learning, natural language processing, advanced analytics, reporting, data engineering, programming , and other areas to support Line of Business, Sales, Marketing, et cetera, to make impactful business decisions.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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Solid ML background and familiar with standard NLU, NLG, and LLM techniquesPREFERRED QUALIFICATIONS- PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing- 4+ years experience in building conversational AI and/or natural language processing systems.
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Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, or genetic algorithms.
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You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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Utilizes methods particularly in the areas of modeling, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and experience designing/implementing solutions.
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Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment.
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To lay audiences Preferred skills: experience designing and maintaining RDBMS using PostgreSQL including the application of proper data modeling principles and database tuning at scale Preferred skills: experience with Linux operating system and with shell scripting (i.e., bash, PowerShell) Preferred skills: familiarity of advanced data analysis techniques (i.e., natural language processing, machine learning, etc.
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Utilize state of the art machine learning, natural language processing, and multimodal modeling techniques to build content signals that power personalized product experience across Pinterest ecosystems (discovery, growth, ads etc.
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Mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity.
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Preferred certification: AWS Associate Solutions Architect or Developer certificationBachelor's degree in Computer Science, Management of Information Systems, or closely related disciplineSecret clearance required; accepted candidates will be submitted for TS/SCI. Active TS/SCI eligibility preferred.
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Experience in working with unstructured data, such as text or image data, and applying natural language processing or computer vision techniques. In-depth expertise in statistical analysis, machine learning algorithms, and predictive modeling techniques.
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