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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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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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Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit! Machine Learning Implementation Engineer.
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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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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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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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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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As a Research Engineer in Science, you'll be a part of the research department, The Research Engineer in Science must accomplish the following: Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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As a leading HealthTech company based in Boston, our client develops innovative tools for programming living cells, combining mammalian synthetic biology, computer-aided design, and machine learning to improve the creation and production of biologics and gene therapies.
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6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.
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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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Profound experience in data science, machine learning, and data engineering programming using python and higher-level libraries such as numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly, or similar.
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They are reducing the cost of building LLM. They are hiring a Founding Machine Learning engineer. Their model router comes out of NLP research and they raised $9M from the likes of General Catalyst (Stripe, Airbnb) and NEA (Databricks, Salesforce.
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Title: machine learning Company: Alldus International Consulting Ltd in Boston, MA
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