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[ 串流影音公司 ] AI Algorithm Engineer (推薦系統)

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We are looking for an experienced AI Engineer interested in recommendation systems to enhance our platform’s user experience and drive business growth. This role involves working with large-scale datasets, developing cutting-edge machine learning models, and optimizing algorithms to improve content recommendation and monetization strategies.

Key Responsibilities

  • Develop and optimize recommendation algorithms to enhance user engagement and platform personalization.
  • Work with large-scale datasets to build robust machine learning models for content ranking, recommendation, and personalization.
  • Design and implement end-to-end analytical solutions that are scalable, reliable, and efficient.
  • Prototype and deploy ML models in production, continuously monitoring and improving their performance.
  • Research and develop new algorithms and optimization strategies to improve ad targeting and content delivery.

Qualifications

  • 3+ years of industry experience in AI, machine learning, or related fields, with a focus on recommendation systems.
  • Advanced degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline, or equivalent practical experience.
  • Proficiency in Python and familiarity with at least one other mainstream programming language (Go, Java, C++).
  • Strong experience in data analysis, visualization, and SQL.
  • Solid understanding of statistical and machine learning models.
  • Hands-on experience with deep learning frameworks and deploying ML solutions for training, tuning, and inference.


Why Join Us?

  • Be part of a fast-growing AI-driven company with cutting-edge technology.
  • Work on real-world recommendation systems that impact millions of users.
  • Collaborate with a talented, cross-functional team to develop state-of-the-art AI solutions.
  • Competitive compensation and career growth opportunities.

Contract Type: FULL_TIME

Specialism: Software

Focus: Data & AI

Industry: IT

Salary: Negotiable

Workplace Type: Hybrid

Experience Level: Entry Level

Location: Taipei

Job Reference: WXLB2V-3BD3580B

Date posted: 21 February 2025

Consultant: Cassie Tsai

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