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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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DailyPay is looking for a Staff Data Scientist to architect and build critical applied predictive, machine learning models to improve applications, automate operational tasks, reduce fraud, and support our long-term financial success.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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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.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Academic training in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Bioscience, or Engineering. Experience working with modern ML systems such as NLP, reinforcement learning, and neural networks.
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Join a pioneering biotech company that is transforming the landscape of antibody drug discovery through cutting-edge machine learning and synthetic biology. Machine Learning Engineer.
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Etes-vous notre prochain VIE Machine Learning Engineer? VIE Machine Learning Engineer New Jersey, H/F. Avant de postuler, veillez à vérifier les conditions d'éligibilité pour cette destination : Faire son V.I.E aux Etats-Unis (businessfrance.fr) et ajouter à votre espace candidatun CV en anglais.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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Lead the standardization of process automation solutions leveraging advanced technologies such as robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML.
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At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
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The AP Precalculus Course Lead is a member of the Mathematics and Computer Science department and works collaboratively with experts in the department and across all STEM subjects to improve curriculum, instruction, and assessment for all mathematics and computer science courses.
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Model Validation Lead ("MVL") oversees the team conducting independent validation for complex models based on artificial intelligence (AI) and machine learning (ML) techniques including natural language processing (NLP.
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machine learning applied mathematics jobs Title: postdoctoral in Jersey City, NJ
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