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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. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
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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.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Senior Environmental Engineer / Geologist / Scientist - Federal Site Investigation & Remediation. , which includes:Diverse and inclusive culture of collaboration and innovationOpportunity to work on complex, transformational projectsCommunity and social responsibility as sustainable stewardsFocus on learning, development, and career growthBest-in-class benefits, including flexible, hybrid workplaceWe are consistently rated one of the top AEC firms to work for across our 30+ offices on the East Coast.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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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Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) w ith a deep understanding of cloud services, architecture, and scalable solutions. Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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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Proficiency in Python programming language and deep learning frameworks, including TensorFlow and PyTorch. Job Title: AI Engineer, Data Scientist (Image Processing, MRI Scans)Location: Boston (Remote.
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Passion for innovation, learning, and solving challenging problems with cutting-edge technologies, with the ability to identify trends and create new business opportunities. Preferred certifications: Ideally, you have at least 1 Microsoft certification, such as Microsoft Azure Fundamentals, Azure Data Scientist Associate, Azure AI Engineer Associate, Power Platform Solution Architect Expert, or equivalent.
$131,100 - $271,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Programming skills with fluency in Python and its libraryies such as NumPy, Pandas, Scikit-learn, Matplotlib and Seaborn; experience in working with deep learning framework Pytorch, tensorflow or Keras.
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The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
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You have relevant experience with Language Models (Large LMs is a plus), NLP, large-scale systems and data sets, deep learning, or adjacent fields. You possess a BS/MS/PhD in Computer Science, Engineering, Machine Learning or a related scientific field or have equivalent experience.
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This role will join the Data Science team where you will be responsible for exploring and proposing the adoption of cutting-edge technologies, such as transformer models, to enhance the efficiency and effectiveness of deep learning approaches applied to EHR data.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR.
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Design experiments to evaluate the performance of LLMs and generative AI modelsAcademic publication record and/or patent experience is strongly preferredProgramming skills in Python, SQL, Spark, R, hands on experience on using AWS framework or Azure ecosystem is a plusExposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is required.
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deep learning scientist jobs in Boston, MA
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