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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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Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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Nice to have - You have some basic affinity or interest in machine learning / deep learning / artificial intelligence. You will work closely with experienced machine learning scientists to develop and ship cutting-edge tooling, and user-facing products.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends. 10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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PhD in machine learning or computer science. We are looking for a Machine Learning Engineer in Perception that will invent pragmatic, long-term and stable software solutions to sophisticated problems.
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As a Distinguished Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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4 years of professional experience in a data science or machine learning role where you’ve used statistical inference to drive actionable recommendations and/or built predictive models while evaluating their effectiveness.
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As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs.
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At Williams-Sonoma, Inc., we are harnessing the power of data science, machine learning and predictive analytics to better understand the dynamic trends, patterns and anomalies of our business and customer behavior and leverage them to solve complex problems across the enterprise in the areas of product finding, assortment intelligence, supply chain network optimization, relevant and personalized customer experiences and more for all of our brands.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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artificial intelligence machine learning jobs Title: data science in Oakland, CA
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