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Extensive experience as a Machine Learning Engineer or in a similar senior role, ideally with a focus on wellness or fitness applications. We are seeking an experienced Senior Machine Learning Engineer to spearhead the development of machine learning models focused on optimizing wellness and fitness data analysis.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google’s Vertex AI, Azure’s AI tools, and AWS’s Machine Learning services.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Massachusetts General Hospital (MGH) Department of Neurology and Harvard Medical School (HMS) is seeking a signal processing and machine learning post-doctoral fellow for a full-time position in the Gupta Lab. The fellow will be applying diverse methodologies to uncover information in multimodal data collected from individuals with common and rare neurodegenerative diseases.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
$9 - $11Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We deliver a range of solutions including custom machine learning/AI integrations and data warehousing and processing solutions. Top Skills: AWS, Terraform, Python, FSx. About the role: We are looking for an AWS Cloud Engineer with Terraform experience to augment our client's Platform Engineering team.
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Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc. A minimum of 2 years of industry or research experience in signal processing and/or machine learning.
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We are hiring a Machine Learning Engineer III in Bellevue, WA, Boston, MA, or Plantation, FL. In this position, you will work on all stages of model development, from idea, analysis, architecture, pipeline, tuning, experimentation, and feedback loop.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Create detailed mobile software development documentation and assist in assigning tasks to team members.
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As a Technical Lead / Principal Software Engineer on the AEC Solutions team, you will join a team of technologists to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
$160,800 - $260,150 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics.
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The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Work collaboratively in cross-functional teams with chemistry, proteomics, drug discovery and AI/machine learning. Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with machine learning to enable generative design of protein editing chemistries.
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As a Machine Learning Engineer II with CodaMetrix you will help with translating proof-of-concept ideas to product grade solutions. The Machine Learning Engineer II reports to the Director of Architecture.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Director, Model Validation for SHUSA Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning engineer jobs Title: cloud software engineer Company: Erias Ventures Llc in Boston, MA
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