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Hands-on experience implementing and training deep learning models Experience with state-of-the-art deep-learning techniques such as transformers, diffusion models, and multi-modal modeling, in domains such as robotics, computer vision, and NLP.
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PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Experience with neural deep learning methods and machine learning.
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Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Data Science, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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The Machine Learning discipline is focused on developing the tools and supporting the delivery of process improvement and engineering through RPA solutions. Analyze and challenge current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools as a subject matter expert.
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Strong hands-on experience with deep learning tools (e.g., PyTorch or TensorFlow-Keras) The Massachusetts General Hospital (MGH) Corrigan Minehan Heart Center and Cardiovascular Research Center is seeking a highly motivated individual with expertise in Data Science and Machine Learning to work on multiple clinical and translational research projects focused on cardiovascular disease.
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We are seeking an experienced, hands-on Principal Engineer with a strong background in Machine Learning applied to complex spatial computing, image and video processing, and visualization applications.
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5+ years of experience building data science/machine learning products, particularly for natural language processing (NLP) applications. BluePath Labs is looking for a data scientist to join our multi-disciplinary team of developers and researchers in building cutting-edge data science (DS) and machine learning (ML) solutions supporting national security, research and development (R&D), energy, and other critical sectors.
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Develop, test, integrate, and maintain production-grade data science/machine learning models. Experience with end-to-end ownership of significant data science/machine learning projects.
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Python Development: Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI. Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries.
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Experience in new machine learning platforms such as Tensorflow, Keras, Pytorch is highly desired. Under the supervision of a PIs, the selected candidate will lead data analyses for projects related to heart disease and is expected to leverage conventional and advanced data science/machine learning approaches in the analysis of high-dimensional clinical datasets.
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BS with 5+ years experience, MS with 3+ years of experience, or PhD in Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or a related technical discipline. Developing software using machine learning techniques.
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Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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Interest in natural language processing (NLP), chatbot architecture, AI, and machine learning. Creating content for the chatbot, focused on a clear, simple conversational voice, tone, and style that aligns with established editorial and conversation design standards.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Hands-on experience with one or more deep learning frameworks like PyTorch, TensorFlow, Hugging face, LangChain, LlamaIndex, etc.
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machine learning applied mathematics hands on jobs Company: Birlasoft in Boston, MA
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