スマートニュース Bilingual Machine Learning Engineer, Content Understanding/Recommendation のご案内
2024年09月26日更新
スマートニュース
スマートニュース Bilingual Machine Learning Engineer, Content Understanding/Recommendation のご案内
2024年09月26日更新
募集締切が過ぎています
The Team
We are currently hiring for our Content Understanding and Recommendation Algorithm Team.
Responsibilities
・Common Responsibilities Between Both Teams:
・Research and develop cutting-edge algorithms.
・Work end-to-end, from data and model to service.
・Manage expectations between product side and ML limitation.
・Develop ML pipeline to make engineers more productive.
・Content Understanding Team:
・Analyze and categorize content to extract key insights, themes, and trends, ensuring alignment with user needs and product goals.
・Generate actionable signals from content to enhance recommendation systems, driving personalized and relevant user experiences.
・Collaborate with product teams to integrate content insights into product features and strategies, contributing to continuous improvement and product success.
・Recommendation Algorithm Team:
・Innovate and implement machine learning algorithms, seamlessly integrating rule-based optimization strategies, resulting in tangible enhancements across product metrics for our diverse array of offerings such as ads, feed, and follow recommendations.
・Design, develop, and iterate recommendation and ranking algorithms on predictive models for candidate generation and ranking, including but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
Requirements
Minimum requirements
・1+ years (0 for new grad) of experience in designing and implementing machine learning algorithms, and applying them to real world problems
・Solid Machine Learning background and deep understanding of certain domain of machine learning techniques, especially in recommendation systems, natural language processing, computer visions
・Strong software development skills with proven record of shipping changes to production that improved product metrics with machine learning technologies
・Able to have deep end-to-end understanding of sophisticated ranking systems and can proactively detect problems and make improvement suggestions
・Good written and spoken communication skills, can work across functional teams
Expert coding abilities in multiple programming languages (e.g. Java, C++, Python, Scala)
・MS or BS in computer science, mathematics, physics or other quantitative fields
・Fluent in Japanese
Working condition
・Office Location: Tokyo
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