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Topic areas include market design, cloud marketplaces, search auctions, optimal pricing contracts, retail product competition, scalable demand estimation, structural demand estimation, machine learning for both prediction and causal inference, optimal capacity investment, and other applied theory.
$6,290 - $12,170 a monthInternExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As an MLE Intern, you will be contributing to the development and optimization of our machine learning models. Currently enrolled in a PhD degree program in Computer Science, Engineering, Mathematics, or a related field with a focus on machine learning or artificial intelligence.
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Duties for this position include:- Conducting literature reviews to support various Operations Research Initiatives- Labeling data for machine learning projects- Assisting with data processing for various projects- Assisting with modeling efforts- Building Python dash toolsMinimum QualificationsAs of June of the Program year the prospective interne must be a student matriculated in a college or be a recent college graduate (winter/spring term of the Program year.
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Our team applies the latest in CX analytics, surveying, and machine learning to drive strategic impact across Cybersource and Authorize. Net. We are looking for an outstanding intern who is interested in working closely with cross-functional and cross-organizational teams to understand the customer journey and analyze business needs, document and understand customer requirements, measure peaks and valleys in the customer journey, conduct strategic assessments, track and develop analytics, and develop/implement solutions.
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The Capital One Tech Incubator focuses on machine learning research. Center 1 (19052), United States of America, McLean, VirginiaLabs Incubator Intern - 2024-2025 Academic YearKey Role DetailsThis is a paid internship that is part time, requiring 15-20 hours per week.
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The application developer interns will work closely with a team for multiple ETC Roadside software products, including machine learning-based applications and artificial intelligence (AI) solutions.
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Experience with Python, Linux, JIRA, Machine Learning, Elastic Search & Kibana, Pandas. Reporting to the Test Engineering Manager, the student will assist with daily engineering tasks to help identify root causes for test problems in the manufacturing process while learning, collaborating and working alongside Engineers and cross-functional teams.
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Knowledge of advanced statistical methods and machine learning techniques. Familiarity with Tableau or Microsoft Power BI. Creates sustainable data products by automating data transformation and delivering Power BI dashboards.
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Responsibilities:Responsibilities:Research on state-of-the-art machine learning, deep learning, social-network data mining and recommendation algorithms with game data, help design, evaluate and improve the core algorithm and strategy for online AI serving.
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Entail the collection and curation of medical imaging and clinical data as well as assisting in deploying machine learning. and deep learning algorithms for modeling. Self-directed learning and ability to work independently.
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Support implementation of new machine learning methodologiesWork with Applied Materials and customer confidential data to provide unique solutions for customer’s high value problems. Applied Materials’ Micron Account Team is searching for an intern to join our team in summer 2024.
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Driven by passion to improve peoples daily lives, Grabango brings computer vision and machine learning to existing brick-and-mortar stores. We are looking for a Technician Intern for a 6-month on-site contract position with availability to work a 40-hour week, Monday through Friday, from the office.
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Job Description:As an intern, you will help develop machine learning inference systems for FPGA. Your group will work on a vertical design from customer software interfaces to the hardware itself.
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Work will be performed in a machine shop environment - Protective footwear and eyewear will be required. By offering internship opportunities, we aim to provide aspiring Machinist with hands-on work experience and practical learning in their respective fields.
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QUALIFICATIONS FOR POSITIONYour qualifications and experience should include:Strong technical background in machine learning and deep learningDeveloping novel models or algorithms and reporting results as published papersExcellent analytical and programming skills for large-scale deep learningExperience with research communities, including having published papers at conferences, for example NeurIPS, ICLR, ICML, CVPR, etc.
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machine learning jobs Title: intern
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