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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Kilpatrick Townsend’s Electronics & Software Patent Prosecution team seeks either a USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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As a Machine Learning Engineer - Technical Lead II for Crowe Intelligent Document Analyzer (CIDA), you will design the future of this document extraction product as it transitions from a combination of Natural Language Processing and embeddings models to fully integrate with Crowe's in-house Generative AI platform and to leverage Large Language Models (LLMs.
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We work as a team: We are a collaborative company comprised of highly-educated industry leaders in radar systems, image and signal processing, machine learning, hardware development, and software engineering.
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Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods, forecasting, linear programming, natural language processing, LLMs.
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Artificial intelligence and predictive analytics in health (i.e. Machine Learning, Large Language Models, Natural Language Processing ) DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, medical artificial intelligence, privacy technology, global health informatics, equity in informatics, and translational bioinformatics.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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Applying Strong knowledge of EcoSruxure Plant /Machine, Smart Factory Solutions, Industry 4.0, Control & Visualization Software, SCADA, edge-to-enterprise analytics, AI, machine learning, industrial internet of things (IIoT), AR/VR, Digital Twin, Unified Operations Center, APM, APC, OTS Software and Services along with MES and Batch.
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We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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Engage in the entire lifecycle of machine learning projects, from conceptualization and data processing to model development, deployment, and continuous optimization. Key Responsibilities:- Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow.
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Responsibilities: Developing and training machine learning models using Natural Language Processing (NLP) techniques. Requirements: Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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Avery Dennison is seeking a Materials Scientist to meet organizational needs for accelerated weathering testing, outdoor aging, analytical testing, data analysis/machine learning, and specific weathering research projects with pressure sensitive adhesive film constructions for Graphics & Durables applications.
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Experience with one or more of the following: recommendation/ranking system, online advertising, information retrieval, natural language processing, large language model or related fields.
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Experience with multiple deep learning techniques such as Transformers, CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn.
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Proficient in emerging technologies such as deep reinforcement learning, imitation learning, computer vision, and natural language processing, with a focus on their application in robotics.
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machine learning natural language processing software engineering jobs Company: Autodesk
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