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Our team at ByteDance Research has been focusing on developing quantum computational chemistry and machine learning tools to help us better understand some fundamental science problems, such as the mechanism of catalyst.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Strong technical capabilities in data or machine learning. Open to: Machine Learning Engineer, Software Engineer (machine learning), Applied Scientist, Research Scientist.
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This role provides an opportunity to apply your data science, data engineering, and Python machine learning application development skills in a dynamic and competitive environment.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. 2) Data Science/Machine learning track.
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Sales Territory: $232,900 - $265,800 for Distinguished Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer.
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Hands-on experience with machine learning, deep learning, natural language processing (NLP), GenAI, recommender systems, experimentation (e.g., A/B testing). Techniques include building predictive or classification models by employing statistical models, machine learning, deep learning, NLP, GenAI, LLMs, etc.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Stay ahead of emerging technologies and methodologies in data engineering and machine learning. Metropolis is seeking a Senior Data Engineer, Machine Learning to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives.
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Qualifications PhD in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field. Fundamental knowledge and/or experience developing and applying algorithms in one or more of the following machine learning areas/tasks: protein structure machine learning, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$112,800 - $124,596 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Using advanced artificial intelligence and machine-learning technologies, Cedars-Sinai Cancer Center researchers can create a computational model of the patient, known as the "Molecular Twin.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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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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machine learning jobs Title: data science Company: Discover Financial Services in Anoka, Minnesota
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