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We are seeking a Principal AI Support Engineer to join our AI Support Team. The ideal candidate will have industry-relevant experience delivering at scale Machine Learning or Data Science in the AWS cloud ecosystem.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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You’ll work with a team of engineers and cross-functional partners across product, design, data science, and user research to build and maintain product features for our Android app. We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us.
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In order to build and deploy Data Science models at the scale andvelocity required for Personalization, Forecasting, Marketing, Content/User Segmentation, andother services at the user and session level at various timescales, our team of Data Scientistsrequires a ML Engineer to build (near) real-time data-ingestion pipelines and robust (faulttolerant) model serving infrastructure.
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Educational Background: B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred). The Computational Catalysts group is a diverse, curious and action-driven team at the intersection of computation, engineering and science with ambition to advance our technical excellence.
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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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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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As a machine learning engineer, you will help us productionize findings from data science into real-world applications. Sr. Machine Learning Engineer. Experience with modern machine learning frameworks like Scikit-learn, Torch, or Tensorflow.
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Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch. Bachelor or Masters Degree in Data Science, Statistics, CS, or Information Sciences.
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We’re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
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Environmental Science Associates (ESA) seeks a highly experienced Senior Coastal Engineer to provide leadership for ESA's coastal engineering practice with staff located throughout the Pacific and Gulf coasts.
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Python, SQL, ETL, Data, Spark, AWS, Snowflake, Data warehouse, Airflow, data science, marketing analytics. The engineer will also take ownership of ETL workflows, ensuring data quality and availability, and integrate schema registry while establishing data lineage in coordination with other teams.
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Bachelor’s degree or foreign degree equivalent in Computer Science, Electronic Engineering, or related field and five (5) years of progressive postbaccalaureate experience in an Information Technology or Software Development-related role or in the job offered.
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Collaborate closely with data science, machine learning, and engineering teams to improve the coverage, accuracy, and reliability of instrumentation. Experience collaborating directly with data science, machine learning, and product engineering teams.
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Work closely with Data Science and Data Engineering teams to implement, optimize and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages. Help Data Science and Data Engineering develop and implement specialized infrastructure to deliver tools/software to improve the reliability and scalability of services.
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science job Title: engineer in Oakland, CA
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