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Waters Global Research is looking for an energetic and creative machine learning engineer to join the team and help bring technologies in analytical instrumentation to the forefront of the industry.
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The Lead Machine Learning Engineer will help craft the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. Contributions to open-source projects related to data science and machine learning.
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PhD/MS in computer science, statistics, or computational science, with a focus on machine learning methods, or a PhD in a related field (e.g., computational chemistry or biology) with a strong emphasis in machine learning method development, and 10+ years of relevant experience.
$282,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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Advanced knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure Machine Learning, Hadoop, Hive (Apache), Informatica, Microsoft Azure, Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products or Operational Data Integration (OLTP.
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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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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers. The machine learning engineer will work and mentor a team of researchers in searching for patterns hidden in large data sets for research in neurology.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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Utilize statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning as needed. Write scripts to integrate data, conduct exploratory data analysis to discover hidden trends, apply machine learning to train predictive models, and use the right combination of tools and frameworks to turn complex sets of disparate data points into objective answers that inform decisions.
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Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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machine learning jobs Title: electrical engineer Company: Octo Consulting Group
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