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Work with large scale structured and unstructured data, build and continuously improve cutting edge machine learning models for Airbnb product, business and operational use cases.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Successful candidates will also have practical experience building large scale ETL pipelines on AWS or GCP for data engineering, feature extraction, statistical analysis, and correlations.
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As a Data Scientist, youll use your full toolkit statistical modeling, machine learning, data mining, data visualization, and software engineering to develop data products and models that are used by millions of users and power the growth of our business.
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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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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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You will lead efforts to build machine learning models that predict disease from whole genome sequence data. Experience with PyTorch, JAX, TensorFlow or equivalent machine learning framework.
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The ideal candidate should have a strong background in machine learning, deep learning, LLMs, and data analysis, as well as experience in developing and deploying AI models on hardware/wearables.
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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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Lead the development of heuristics, machine learning and statistical models tailored to identify patterns and anomalies associated with cryptocurrency fraud and financial crime. As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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We're hiring generalist software engineers to work on web applications, data mining, machine learning/data science, data transformation/ETL, data modeling, database scaling, infrastructure, devops, and more.
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You will work on a variety of innovative and meaningful projects, starting with working on web interfaces for Ouva Care Automation & Patient Assistant Platforms that display live, streaming data by interfacing with our backend systems powered by machine learning.
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As a Machine Learning Engineer you will work on developing, deploying, monitoring, optimizing and debugging our Machine Learning models, infrastructure and systems that are core to our industrial robotic solutions.
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Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
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Forging strong relationships with our engineering and machine learning teams to align the data infrastructure seamlessly with our AI solutions, ML models and user interface. data science leader with 15-years of experience, who has scaled several data teams and built dozens of machine learning products from zero across multiple problems domains.
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machine data mining jobs Title: machine learning engineer Company: Berkeley Medical Center in San Francisco, CA
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