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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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CPD is seeking a computational scientist specialized in machine learning to join our team. ( Responsibilities Develop machine learning (ML) methods to predict complex structures induced by molecular gluesDevelop and integrate generative AI algorithms for the design of small molecular glues Support the small molecule drug discovery projects at CPD using advanced ML methodsWork with leadership team to develop project proposals, timelines, and resource requirements.
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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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10+ 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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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. Strong experience with Python/R, forecasting methodologies, machine learning and statistics.
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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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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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RF/radar signal processing, optimization, electronic warfare, machine learning, adaptive signal processing, algorithm development, test & evaluation, model & simulation, or systems engineering.
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Knowledge in machine learning, deep learning, NLP, and Computer Vision. Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
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Full Time] Junior Machine Learning Engineer at Nextera Robotics (United States) | BEAMSTART Jobs. Junior Machine Learning Engineer. Machine Learning Operations (MLOps.
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Who You Are: You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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We are specifically looking for individuals with PhDs in NLP, Machine Learning or Computational Linguistics, who can combine a research background with more recent hands-on Engineering abilities.
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We're excited to offer a career-defining opportunity for a senior scientist with a deep passion and expertise in computer vision, machine learning, and image processing. 5+ years in classical computer vision techniques, machine learning methods and tools including deep learning, associated frameworks (e.g., PyTorch, TensorFlow, Keras), signal processing modalities (e.g., EO/IR, sonar, radar, lidar, acoustic, LDV), or related.
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machine learning jobs Title: scientist Company: Pwc in Boston, MA
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