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Leveraging various state-of-the-art tools and technologies afforded by computer science, including Artificial Intelligence, Machine Learning, Digital Signal Processing, and Algorithms to best shape the experiences.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have a strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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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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Experience in applied mathematics, optimal transport, PDE’s, statistics, signal and image processing, computer vision, machine learning, mathematical modeling; strong oral and written communication skills; and the ability to interact collegially with undergraduate and graduate students, as well as other staff and professors.
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Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural language processing, as well as development and execution of annotation tasks with teams of experts.
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Familiarity with sensor fusion techniques and the integration of data from various sensors such as LiDAR, cameras, radar, and GPS. Expertise in computer vision, natural language processing, or reinforcement learning as applied to autonomous vehicles.
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The multi-disciplinary team consists of talented technical staff with expertise in electromagnetics, optics, signal processing (communication, GPS), RF design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.
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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning. Hands-on experience in NLP algorithm development, machine learning, and deep learning for text analysis and processing.
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Utilizing knowledge of data science and machine learning frameworks including PyTorch, Keras, TensorFlow, and Scikit-learn; natural language processing including generative AI LLMs, NLTK, Spacy; and cloud platforms including AWS and Azure in the performance of job duties.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Master’s, or PhD in engineering, applied science, or a related quantitative field such as physics or economics.
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Develop, implement, and optimize cutting-edge machine learning algorithms related to image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR). Minimum 5 years of experience in a similar role, with a focus on machine learning, image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR.
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Experience in technical topic areas: Applied Numerical Algorithms, estimation theory, nonlinear programming/ optimization, control systems, modeling and simulation, data analysis, radar systems, digital signal processing (DSP), software programming, learning and adaptive systems, machine learning, artificial Intelligence.
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machine learning applied computer science signal processing jobs Company: Veritone in Anoka, Minnesota
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