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Interest in natural language processing (NLP), chatbot architecture, AI, and machine learning. Interest in natural language processing (NLP), chatbot architecture, AI, and machine learning.
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Deep understanding of data mining, machine learning, data modeling and ONA Experience with visualization tools and statistical packages (SAS, R, Tableau, PowerBI) and SQL. Vertex currently operates at the forefront of rare disease scientific innovation and has successfully developed and commercialized multiple breakthrough medicines for Cystic Fibrosis (CF) and Sickle Cell Disease.
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We are seeking a highly motivated machine learning engineer to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization. Principal Machine Learning Engineer, Imaging AI.
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Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. The Client Quantitative Analyst position is within the Client Protection organization supporting functions, including Fraud Prevention and Detection, Anti-Money Laundering (AML), Sanctions and Screening Compliance.
$117,900 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Following the guidance of senior resources to utilize existing technology investments such as monitoring, AI, machine learning, data aggregation and visualization, alerting/notifications, automatic remediation, etc.
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Learning and development opportunities. Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, Electrical Engineering, or a related technical field. As a Technical Product Manager, you will be responsible for overseeing the development roadmap of our Advanced Safety products, including ADAS driving features (from L0 to L3), parking, mapping and localization as well as end-to-end, turnkey ADAS systems from the development stage until it’s in the hands of customers.
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This position is a Senior Scientist, Machine Learning reporting to the AD of Machine Learning, in Computational Drug Discovery at Fog. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Fog's platform discovery engine for HeliconTM stapled-peptide drugs.
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Our team is combining DNA nanotechnology, high-dimensional flow cytometry, laboratory automation, and machine learning to develop the world’s highest throughput proteomic platform: the nELISA.
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Knowledge of big data analytics: supervised/unsupervised machine learning, neural networks, deep learning, streaming & batch analytics. We anticipate, lead, and believe that listening is where learning begins.
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Majoring in Electrical Engineering, Chemical Engineering, Electrical Engineering, Civil Engineering, AI/ Machine Learning, Computer Science, Data Science, Business Analytics, Statistics, Environmental Engineering, Construction Management, Project Management, Power Systems, Information Technology or a related field.
$33 an hourInternExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The right candidate is structured and disciplined, has a natural curiosity about Biopharma programs and biomarker assessment and is also interested in the details of the machine learning field.
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The Research Engineer will be focused on iterative device development, ingestible/implantable electronics, embedded software development, machine learning integration, and novel drug delivery/bio-sensing system design for treatment of a variety of disease conditions.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$220,850 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Our founding team holds multiple machine learning patents and brings experience from Facebook, LinkedIn, Rakuten, and Microsoft. You’ll get competitive compensation, sweet offsites, company-provided health insurance, mobile-phone reimbursement, and a culture of learning and growth.
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As a Computer Scientist on the Fraud Team, you will be responsible for spearheading the development and execution of an innovative Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) strategy to combat various fraudulent activities, including bot attacks, Account Takeover (ATO) incidents, phishing schemes, theft, and product misuse.
$267,600 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
machine learning jobs Title: electrical engineer Company: Autodesk in Boston, MA
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