Machine Learning Engineer for E-commerce Recommendation Systems

4 days ago

Singapore beBeeRecommendation Full time $80,000 - $120,000

Embark on a transformative journey as a Machine Learning Engineer Graduate, shaping the future of e-commerce recommendations.

Job Description

The successful candidate will participate in building large-scale e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations.

Responsibilities include designing, developing, evaluating, and iterating on predictive models for candidate generation and ranking. This involves extracting relevant information from large amounts of various data and designing algorithms to explore users' latent interests efficiently. Additionally, you will work in a team setting, applying knowledge in statistics, scripting, and programming languages required by the firm.

As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. You will be part of a group of applied machine learning engineers and data scientists focused on E-commerce recommendations, developing innovative algorithms and techniques to improve user engagement and satisfaction.

Required Skills and Qualifications
  • Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Strong programming and problem-solving ability.
  • Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, etc.
  • Experience in Deep Learning Tools such as tensorflow/pytorch.
  • Experience with at least one programming language like C++/Python or equivalent.
Benefits

This role offers a unique opportunity to join a dynamic team, working on cutting-edge projects that drive innovation in the field of e-commerce recommendations. As a member of our team, you will have access to:

  • State-of-the-art infrastructure and tools.
  • Opportunities for professional growth and development.
  • A collaborative and supportive work environment.
Others

Candidates can apply to a maximum of two positions and will be considered for jobs in the order they apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage applicants to submit their applications early.

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