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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) We are seeking a highly motivated machine learning/AI scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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Exhibit a high learning agility with the ability to understand and exploit new scientific concepts and methods across multiple fields; be able to apply these takeaways to a portfolio of small molecule, oligonucleotide, and synthetic peptide, and other emerging synthetic modalities.
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Proficiency in Python, and experience with deep learning libraries/frameworks (TensorFlow, PyTorch). Develop and implement state-of-the-art deep learning models leveraging transformer architectures applied to massive semi-structured text from job profiles (resumes, job postings, performance reviews, etc.
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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.
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Knowledge of NLP libraries, ontology-based and deep learning-based libraries, (i.e., Huggingface, SpaCy, NLTK, cTAKES, MetaMap, or John Snow Labs) The Lead Data Science and Machine Learning (ML) executes Ontada's technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration with Ontada commercial, chart abstraction and engineering teams.
$168,500 - $280,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We are seeking a machine learning research scientist with a proven publication history related to model compression techniques such as pruning and quantization. Strong background in deep learning with expertise in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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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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Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.) Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus.
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Be proficient in deep learning tools such as Keras, TensorFlow, PyTorch, Caffe, etc. We are seeking a Data Scientist Expert, responsible for providing AI- powered solutions to various business functions within Global Manufacturing admin area.
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Sophisticated statistical and machine learning models such as hierarchical mixed bayesian models, transformer-based NLP models, reinforcement learning, deep learning models that span CNN/RNN/LSTM, GNNs, constrained optimization, innovative time series & forecasting models.
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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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Some of this experience needs to be with NLP and deep learning technologies. Quantization and Model Optimization : Implement advanced quantization techniques to optimize deep learning models for efficient deployment on resource-constrained environments, ensuring minimal loss in performance while reducing memory and computational demands.
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Experience in Natural Language Processing (NLP) and Deep Learning. This individual will collaborate with other data scientists and quants to prototype, learn, and ultimately deliver investments solutions using techniques such as machine learning, artificial intelligence, and graph learning.
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Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
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We are searching for a (Senior) ML/AI Data Scientist with strong experience in deep learning and AI to develop and productionize innovative models that enhance and accelerate our drug discovery and clinical translation efforts.
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deep learning scientist jobs in Boston, MA
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