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BIOVIA is looking for a motivated Machine Learning Engineer – Drug Discovery to join our Discovery Studio team in San Diego, CA, or Waltham, MA in an onsite/hybrid role. This role focuses on the development of Machine Learning and Artificial Intelligence techniques for BIOVIA’s life sciences modeling and simulation applications.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
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A talented Machine Learning Research Engineer is required to join an exciting and innovative healthtech organization based in Boston. In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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Machine Learning Implementation Engineer. Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit.
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Keywords: Cheminformatics, Computational Chemistry, Machine Learning, Artificial Intelligence, Computational Sciences, Drug Discovery, Pharmaceutical, Biotechnology, Boston, Cambridge, Massachusetts.
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Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.
$176,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Bioinformatics Scientist is responsible for analyzing antibody selection data from yeast display, implementing machine learning algorithms to enhance data analysis and lead selection, and managing the data pipeline from raw file processing to database storage.
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Using advanced machine learning and state-of-the-art non-invasive robotics, the team aims to communicate with these majestic creatures. Reporting to the Harvard Microrobotics Lab faculty PI and collaborating closely with other SEAS staff and faculty, the Electrical Engineer will develop functional and technical requirements with an engineering and biology team and interpret these into system specifications and prototypes.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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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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Familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.) Experience and understanding of modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes and Docker.
$160,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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machine learning jobs Title: electrical engineer Company: Autodesk in Cambridge, MA
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