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Hands-on experience with signal processing, data analysis, machine learning models, or platform development in radar, lidar or equivalent. Prior research experience to one or more of the following areas: Electromagnetics and antenna technology (simulation tools such as CST and HFSS, characterization techniques) Radio-frequency systems (wireless communication, radars, SDRs) Signal processing and machine learning (DSP, wireless perception algorithms.
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Hands-on experience in Large Language Models, Generative AI, NLP, Machine Learning and Deep Learning techniques. You would be working on challenging problems leveraging Machine Learning and Deep Learning Techniques to generate tangible and immediate business impact.
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Optiver is seeking an Experienced Futures Trader/Researcher to join our High Frequency Trading Team. Our HFT team is comprised of Researchers and Software Engineers who focus on designing, improving and executing trading strategies using machine learning.
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Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
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Experience using quantitative (machine learning and statistics), qualitative (ethnography) postdoctoral researcher to join our Sports Analytics team to work on NSF Award #2031467.
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We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team and develop predictive models using cutting-edge machine learning/artificial intelligence techniques to discover novel therapeutic opportunities.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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Artificial Intelligence and machine learning with application in manufacturing engineering: The candidate will be responsible for teaching a variety of classes in both industrial engineering and manufacturing engineering areas; the candidate research will focus on AI and machine learning with applications in various areas including manufacturing engineering.
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Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Experience building systems based on machine learning, deep learning methods, or natural language processing.
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Proficient in statistical methods, machine learning, generative AI, causal modeling, probabilistic graphical models, and other advanced data science techniques, especially those focused on the use of multi-modal data.
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Programming skills and familiarity with GPU based technologies like CUDA, CuDNN and TensorR and background with deploying machine learning models on data center, cloud, and embedded systems.
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Job Highlights: Apply and develop artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) on pharma research data sets (e.g. activity, function, ADME properties, physico-chemical properties, etc.
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Provide SME support on AI capabilities; predictive analytics, data science, natural language processing (NLP), computer vision, process automation, voice-enabled technology, machine learning, and generative AI.
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The Difference You Will Make:As a senior machine learning engineer, your expertise will be pivotal in developing Conversational AI solutions and other cutting-edge Machine learning techniques to define and shape the future of the Airbnb Community Support experience.
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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) 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 strong machine learning background and a desire to push the envelope in one or more of the above areas.
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