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We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Intern to join Roku TV team. You will be tasked to explore Picture Quality (PQ) improvements using AI in a resource constraint environment. Roku is pushing the limits in all directions, and PQ is one of these. This role is for a 12-week Summer 2024 Internship based in Taiwan. Learning end-to-end pipeline right from model development to deployment

🌳工作描述： CoCoTree 正在尋找新夥伴！我們是一家充滿活力的新創公司，專注於科技創新，旨在提升森林管理的效能，實現ESG和永續發展。如果你對科技以及永續管裡充滿熱情，並渴望參與對社會有益的

服務，客戶可以更快速、更全面地了解市場趨勢、競爭對手、消費者偏好等，能制定更有效的營銷策略和商業決策，從而在市場中佔有更大的優勢。 In this Machine Learning Engineer Intern role, you will work closely with AI R&D team to tackle problems in content discovery,

和資料科學家/產品經理一起協作，了解公司需求以及提出解決方案 協助前瞻深度學習、機器學習算法的開發及優化 數據採集、標註前、後處理及算法開發與測試 蒐集及實作技術論文

We are recruiting outstanding fresh graduates or recent graduates to join our team. This program welcomes graduates from local or overseas universities. Target Audience: - individuals interested in natural language processing, machine learning, statistical learning - Fresh graduate / undergraduate looking for internship - Post-graduate in related subject fits the best - Major in Information Engineering, Computer Science, Statistics are most recommended required abilities: - strong background in

系統、用戶畫像、地圖應用結合、圖像搜索、...等系統功能，與開發團隊的產品經理、 UX 設計師、Data Pipeline Engineer、後端工程師密切合作，藉由數據驅動 SkyREC 的客戶提高交易轉換率和會員貢獻度，並從數據中尋找

協助前瞻深度學習、機器學習算法的開發及優化 數據採集、標註前、後處理及算法開發與測試

To design and develop innovative machine learning models that enhance our content products and improve user experience. We're looking for individuals who enjoy challenges and are passionate about making a real impact to LINE TODAY. Responsibilities Develop ML models, prototypes for recommendation scenario. Evaluate model performance and make improvements as needed. Communicate results and insights to the team and stakeholders.

We are data team in EC LINE TW. First, you will have chance to participate huge scale machine learning and data engineering architectures for recommendation, data pipeline, search application and NLP for EC family services in LINE TW. In addition, you will learn how to cook complete data solution by LINE machine learning, big data and cloud platform. Furthermore, working with diverse roles in EC Data team is challenging and very interesting experience (data engineer, data scientist