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Position Overview: We are looking for a Machine Learning Architect with a strong background in Large Language Models (LLM), Vertex AI, Chatbot development, and AlloyDB. The ideal candidate will have a deep understanding of machine learning frameworks, AI/ML model deployment, and scalable data architectures.
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As a Machine Learning Research Engineer, you will play a key role in advancing our research agenda around automated writing assessment. Two or more years with practical experience in developing natural language processing (NLP) and machine learning models.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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Operate drill press, hydraulic press, bench grinder, pipe threading machine, pipe bender, cutting torch, band saw, and other shop equipment. Ability to operate a laser machine. Operate drill press, hydraulic press, bench grinder, pipe threading machine, pipe bender, cutting torch, band saw, and other shop equipment.
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In this role you are passionate, talented, and inventive Machine Learning Engineer with a strong background in ML and AI to help develop solutions by pushing the envelope in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Operate conversational milling machines, including setup, operation, and editing of Vertical/Horizontal Machining Centers, preferably with Haas machine experience. Machine parts from models, blueprints, drawings, and verbal directions.
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Experience with statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods. Develop solutions focused on data science and engineering using machine learning, deep learning algorithms, statistical concepts, data modeling, software development and visualizations.
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Design and draft industrial mechanical systems; including layouts/general arrangements, conveyors, pneumatic systems, tanks, material handling and processing equipment, HVAC systems, and machine design.
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
$345,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Keywords: PLC Automation, Project Engineer, Industrial Automation, Systems Integrator, Electrical Engineering, Mechanical Engineering, Computer/Software Engineering, Rockwell Automation, Siemens, VFDs, Motion Control, Manufacturing Information Systems, Industrial Networks, Machine Vision Systems, Data Collection Technologies.
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Reporting to the Lead Data Scientist, you will play a crucial role in our analytics capabilities, spearheading the development and implementation of cutting-edge machine learning and artificial intelligence frameworks that empower our customers to unlock actionable insights from complex data.
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An inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a person. As an ML Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data.
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Operate, maintain and properly clean kitchen equipment, including deep fryer, broiler, stove, steamer, food processor, mixer, slicer, oven, steam table, tilt kettle, waffle iron, doughnut machine and flat top grill.
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Train and mentor junior team members, sharing knowledge and expertise in machine learning, NLP, Neural Networks, and Transformer models. Design, develop, and implement machine learning models using advanced techniques such as Neural Networks and Transformer models, with a focus on tabular data and NLP applications.
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The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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machine job Title: engineer Company: Meta in Atlanta, GA
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