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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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Job Description Data Scientist Location: Waltham, MA Get To Know The Team: Your deep experience with artificial intelligence, NLP, language models and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members.
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Deep Learning Research: Stay at the forefront of deep learning research and methodologies, applying innovative techniques to address challenges in NLP tasks, such as named entity recognition, sentiment analysis, language translation, and more.
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Senior Environmental Engineer / Geologist / Scientist - Federal Site Investigation & Remediation. Since our founding, we have intentionally fostered a culture of diversity, equity, and inclusion-supported by deep-rooted core values, one of which is diversity.
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They will work to 1) further integrate CFPS technology into our HTP screening workflows at the intersection of synthetic biology, microfluidics, automation, and machine learning, 2) optimize and expand our CFPS workflows across modalities, and 3) work closely with our production scientists to design and implement productionized workflows.
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Proficiency in Python and familiarity with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch, etc.) · Extensive experience in leveraging Deep Learning ( ANN, CNN, RNN, Auto-encoders, GAN, etc.
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We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team and develop predictive models using cutting-edge machine learning/artificial intelligence techniques to discover novel therapeutic opportunities.
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Python, and familiarity with major Deep Learning frameworks (e.g., PyTorch, TensorFlow). · At least 5 years of R&D experience in Machine Learning and Deep Learning.
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Theory: Understanding of latest deep learning architectures and when to apply a given pre-trained model. 2+ yrs building personalized recommender systems, employing advanced techniques such as deep learning-based models, sequential recommendation algorithms, reinforcement learning frameworks, and/or dynamic re-ranking.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
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Design, develop and implement predictive models using advanced data science concepts (e.g., regression modeling, time series forecasting, classification, data clustering, deep learning) Knowledgeable about emerging data technology and learning techniques.
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Deep understanding of economics, mathematics, and Machine Learning/AI. Experience working as a project manager, product owner/manager, data scientist, and/or technical lead. Experience working as a project manager, product owner/manager, data scientist, and/or technical lead.
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Python, Java or Perl- Experience in developing deep learning models for speech, music, sound detection applicationsPREFERRED QUALIFICATIONS- 5+ years of building machine learning models or developing algorithms for business application experience- Experience with conducting research in a corporate setting- Well versed in the latest deep learning architecture and training techniques for audio and multimodal foundation model development.
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deep learning scientist jobs in Somerville, MA
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