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Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports information security organization objectives.
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Strong software engineering skills to create scalable and robust infrastructure for deep learning data, modeling, and evaluation systems. Experience in applying deep learning to robotics problems and predicting multimodal behaviors for agents viatechniques such as MDP, Monte-Carlo methods, TD learning, policy approximations etc.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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You have a Ph. D. in computer science, statistics, or other related fields with an emphasis on Machine Learning or a Master’s degree with 2+ years of data science experience.
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Provide expertise in one or several areas of machine learning and data science, such as natural language processing, supervised/unsupervised learning, deep learning, reinforcement learning, etc.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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NVIDIA is hiring a Natural Language Processing Data Scientist within our new finance data science team in Revenue Finance. Ability to train BERT, GPT and Megatron Models for different information retrieval and RAG applications using PyTorch Deep Learning Frameworks and performing NLP data wrangling and tokenization.
$168,000 - $264,500 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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A strong educational foundation, frequently a bachelor’s degree in computer science, mathematics, statistics, or a similar discipline, followed by a master’s or even a Ph. D. for more advanced responsibilities, is typically required to become a Data Scientist.
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Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment. Ability to read and implement related academic literature and experience in applying state-of-the-art deep learning models to computer vision (e.g. segmentation, detection) or other areas as (speech, NLP, GANs.
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Build and deploy scalable data science algorithms by applying statistical analytics, Machine Learning (ML), Anomaly detection, and other techniques to enable supply planning. What we need to see: Master's degree in Data Science, Computer science, Operations Research, Statistics or related quantitative field (or equivalent experience) 8+ years of experience Demonstrable Experience as Data Scientist with solid background knowledge and practical experience in probability, statistics, predictive performance, and AI/ML. Significant applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
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M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldExpertise in applied ML for Search/NLP/IR/Product Knowledge Graph - both classical and deep learning based.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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You may not have prior data science and ML background but need to build up knowledge in this area and tremendous curiosity in how the data can and will be utilized by the data scientist.
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We are looking to hire and develop subject-matter experts in AI who focus on data analytics, machine learning (ML), natural language understanding (NLP), and deep learning for healthcare.
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Research and develop novel statistical approaches and machine learning/deep learning models that add value to manufacturing processes and product performance improvement. Sonatus is looking for a highly motivated Data Scientist to join our team and help us accelerate software innovations for next-generation software-defined vehicles.
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data science deep learning scientist jobs in Cupertino, CA
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