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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
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Excellent written and verbal communications skills, be comfortable presenting to large audiencesAdvanced degree (M.S., or Ph. D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields Experience with one of the cloud platforms AWS/GCP/AzureExperience with CI/CD tools like GitHub Actions, Jenkins etcHow We Get Things Done.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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CPB is an exciting and fast-paced engineering center combining predictive computational modeling, machine learning, and experimental biology to develop medical countermeasures. PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field.
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Fluency in using mathematical optimization or machine learning, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep learning, to develop solution methods to be used by in-house decision support tools and software.
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Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
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The Security Machine Learning squad is responsible for the design and development of online and offline machine learning (ML) features and models to detect malicious traffic and activity across the Identity Engineering platform using state of the art algorithms and tools.
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Proficiency in engineering software and databases (e.g., Python, R, MATLAB), and/or machine learning tools for the solar cell project. This role offers the opportunity to contribute to one of two research projects: the synthesis of efficient metal-layered double hydroxides using ammonium-based compounds for energy storage applications in collaboration with Dr. Luyin Lin's group at NTUT, or the inverse design of perovskite solar cells using physics-informed machine learning techniques.
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The selected candidate will apply plasma physics simulations of the tokamak core and pedestal using high performance computing resources and machine learning accelerated architecture. Machine learning techniques and statistical methods will be leveraged to build fast surrogate models that accelerate predictions of tokamak plasma scenarios.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with AI, predictive analytics and the machine learning landscape is a huge plus.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. At least 6 years of experience in software engineering (Internship experience does not apply.
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Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow. We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization.
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. You are familiar with applied data science methods, feature engineering and machine learning algorithms.
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Machine Learning Engineering - Dallas, TX (Hybrid) Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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software engineering machine learning jobs Title: software Company: Intuitive Research Technology Corporation
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