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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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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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Apply and develop artificial intelligence and machine learning (AIML) approaches (e.g. classification, clustering, machine learning, deep learning) on pharma research data sets (e.g. activity, function, ADME properties, physico-chemical properties, etc.
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The Specialized Products & Advanced Research Capabilities (SPARC) Group is seeking a Principal Machine Learning Researcher to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security.
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We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Proven experience as a machine learning engineer or similar role.
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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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3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems.
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Experience with building and iterating on machine/deep learning models using common frameworks such as PyTorch, Tensorflow, or JAX. Demonstrated expertise in implementing and fine-tuning neural networks, including design choices such as activation functions, loss functions, and regularization techniques.
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Experience working with machine learning algorithms such as Scikit-Learn, TensorFlow, PyTorch, MXNet, etc. Experience in designing, testing and deploying machine learning frameworks to rapidly iterate on model development & deployment.
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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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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.
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Exciting Senior Machine Learning Engineer role with rapidly growing Biotech on the cutting edge of protein design! Experience with building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or JAX.
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Strong background in machine learning and deep learning, with practical experience in developing and deploying NLP models using frameworks such as TensorFlow, PyTorch, or similar.
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Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in Python. Our team is passionate about leveraging artificial intelligence and machine learning to unravel the complexities of protein structures and functions.
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Understanding of Artificial Intelligence, Machine Learning, Data Science and Robotic Process Automation. And you don’t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you’ve always imagined.
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machine learning jobs Title: electrical engineer in Cambridge, MA
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