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Experience with statistical modeling, machine learning techniques, and deep learning architectures for natural language processing tasks (e.g., sequence labeling, machine translation, sentiment analysis.
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Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.
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Building RAG application independently using available open source LLM models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$338,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Previous experience with machine vision software (camera control, image processing) and/or imaging and characterization hardware (optical, acoustic, or thermal sensors). Experience, understanding of digital image processing or digital signal processing.
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Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
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The team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. ResponsibilitiesFounded in 2023, ByteDance Doubao Team is dedicated to crafting the industry's most advanced LLMs. We aim to lead global research and foster both technological and social a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation.
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Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.
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Sterling Fab Tech is a CNC Machine Tool Sales Company that specializes in metal fabrication and processing equipment. Our team maintains close relationships with our clients to advise them on machine tool purchases, how the tools can improve their processes, what equipment best meets their needs, as well as providing post-sales support like service and applications support.
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End-to-end design, development and implementation of powerful algorithms and models for Natural Language Processing (NLP), Embedding Based Retrieval (EBR), semantic search, and machine learning to improve query understanding and retrieval.
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This group is entrusted with developing core data mining, natural language processing, and machine learning solutions for AWS services. - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects.
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As a research scientist at Adobe, you will be joining a dynamic team of machine learning, deep learning, natural language processing, and computer systems researchers to build the future of digital experiences.
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Speech Language Pathology Assistants SLPA ST. Speech Language Pathologist SLP. Certified Occupational Therapy Assistant COTA. Licensed Vocational Nurse LVN. Board Certified Behavior Analyst BCBA.
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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Research and Innovation: · Stay up to date with the latest advancements in the field of natural language processing and machine learning. Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine translation.
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machine natural language processing open source deep jobs Title: research associate in San Jose, CA
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