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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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The AI COE is seeking a Principal Data Scientist with experience in Virtual Assistants or chatbots, Natural Language Processing/text analytics, machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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PhD in bioinformatics, computational biology, immunoinformatics, statistics, computer science, machine learning, physics, or a related field (PhD students in the last year of their thesis work, are eligible to apply.
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Formal training in Biology, Computational Biology, Statistics, Machine Learning, or a related technical discipline. 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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You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. We are looking for a Language Engineer with strong technical skills which includes coding and natural language processing experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets.
$84,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This position is a Senior Scientist, Machine Learning reporting to the AD of Machine Learning, in Computational Drug Discovery at Fog. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Fog's platform discovery engine for HeliconTM stapled-peptide drugs.
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Prior experience working in a makerspace or design and fabrication studio, or in an active learning environment is a plus. Build and maintain a network of connections with similar makerspace facilities, surrounding machine shops, and other hands-on spaces on campus.
$64,000 - $89,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our RTLS stack has machine learning and data science at its heart, and together with other algorithms provides indoor localization at scale. Experience with at least one machine learning framework such as TensorFlow or PyTorch.
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Relevance Tuning: Continuously tune relevance algorithms in Solr and Hybris using machine learning and AI to ensure high-quality search results tailored to user behavior and preferences.
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As a Software Engineer on our Learning team, you will be building out interactivity and interoperability features to give learners the best-in-class experience. You are able to translate the non-technical business needs into a clear technical action plan and vice versa, seamlessly.
$78,600 - $135,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They are passionate about creating cutting-edge technology that integrates advanced robotics, artificial intelligence, and machine learning to solve real-world problems. Mentor and guide junior engineers, providing technical expertise and fostering a collaborative and innovative team environment.
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I'm working with a pre-clinical biotechnology company revolutionizing the field of antibody discovery through the integration of cutting-edge machine learning (ML) platforms. Job Description: As a Principal Scientist, Antibody Development, you will play a pivotal role in driving our antibody discovery programs from conception through to preclinical development.
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Frontier leverages data and AI as a core pillar of our value creation strategy, fueled by unique data coming from our R&D labs and specifically our mass spectrometry powered chemoproteomics platform machine learning has impact on everything we do.
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The John Murray Learning non-fiction team in the US is seeking an Editor or Senior Editor to spearhead our expansion plans. With offices in London and Boston, John Murray Learning is home to health and mental health experts and self help superstars, whose ideas spark new insights and open up new worlds of learning and development.
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Familiarity with machine learning models and statistical packages such as PyTorch, TensorFlow, Scikit-learn, etc. Work with central risk book team focused on global equity trading operations.
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machine learning source jobs Title: technical program in Boston, MA
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