ML Engineer - E-commerce Recommendations & Real-Time AI

TikTok

Singapore

On-site

SGD 100,000 - 180,000

Full time

14 days+
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Job summary

TikTok is hiring in Singapore for a software/ML role focused on E-commerce recommendations. You will join a team of ML engineers and data scientists applying large-scale techniques to improve user engagement and satisfaction.

The role requires recent or completed degrees in CS/related fields and strong programming skills. Successful candidates will work on production-ready ML models, real-time data pipelines, and experimentation, with opportunities to grow in a fast-paced tech environment across

Qualifications

  • Bachelor's or Master's in Software Development, CS, or related field.
  • Strong programming and problem-solving abilities.
  • Experience in applied ML and with common algorithms (CF, matrix factorization, etc.).
  • Experience with ML frameworks such as TensorFlow or PyTorch.
  • Proficiency in Python or C++.

Responsibilities

  • Build large-scale E-commerce recommendation algorithms and systems (billion-level features).
  • Develop models for candidate generation and ranking; design real-time data pipelines.
  • Create tools for debugging and productionizing ML models.
  • Experiment to test model performance and resolve issues during deployment.
  • Collaborate with team on statistics, scripting, and relevant platforms.

Skills

Strong programming and problem-solving
Experience in applied machine learning
C++ / Python

Education

Bachelor's or Master's in Software Development / CS / Computer Engineering

Tools

TensorFlow
PyTorch
C++
Python

Job description

TikTok is hiring in Singapore for a software/ML role focused on E-commerce recommendations. You will join a team of ML engineers and data scientists applying large-scale techniques to improve user engagement and satisfaction.

The role requires recent or completed degrees in CS/related fields and strong programming skills. Successful candidates will work on production-ready ML models, real-time data pipelines, and experimentation, with opportunities to grow in a fast-paced tech environment across

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