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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Senior Machine Learning Engineer builds Machine Learning models, particularly NLP and LLM, and executes large NLP/LLM models on a cloud environment at scale. The Senior Machine Learning Engineer applies direct ML knowledge and skills to make a direct impact on improving student learning experiences at WGU. This role has the courage to challenge the current state and propose innovative ideas.
$243,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have a passion for Machine Learning and enjoy researching start-of-the-art NLP and LLM techniques and applying them to the education domain. 3+ year of industry experience in building large scale Machine Learning or Deep Learning models, carrying out the entire ML development lifecycle from POC to production release.
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This role is essential in experienced learning, advancing machine learning skillset and sharing knowledge with others. Stays up to date with the state-of-the-art technologies of LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU.
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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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While the focus of this job will be machine learning applications, there are times where we need to use data science to solve other problems and machine learning is not the only or optimal option.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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In addition, the candidate should have a strong understanding and experience with the integrated machine learning environments provided in Azure, AWS and GCP, along with emerging experience with Generative AI ML technical architectures that include pre-trained LLM and diffusion models such as LLaMA, ChatGPT, Gemini, Stability AI and Claude as well as Vector Databases and orchestration tools such as LangChain.
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Deep knowledge of machine learning, both theory and application. Proven experience in planning and driving productionalized machine learning models. Identify and work on other machine learning problems that will be highly valuable to Circle.
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You have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, Shell scripting. We are looking for a Staff Machine Learning Engineer to lead the scaling and deployment of cutting-edge machine learning and deep learning models powering Data Ventures team.
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machine learning jobs Title: sales representative Company: Vector Marketing in MS, United Kingdom
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