ML Engineer, Large-Scale E-commerce Recommendations

ByteDance

Singapore

On-site

SGD 120,000 - 180,000

Full time

2 days ago
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Job summary

ByteDance in Singapore is seeking a highly skilled ML/AI engineer to advance our large-scale recommendation systems for e-commerce and content.

You will optimize models, conduct data analysis, and run experiments to improve diversity, cold-start handling, and performance across global platforms.

The role requires strong programming in C++/Python and experience with big data and deep learning tools. Join a collaborative team and impact scalable production ML deployments.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • Strong knowledge of data structures and algorithms with solid problem-solving and programming skills.
  • Experience in applied machine learning with common algorithms and deep learning frameworks.
  • Experience with recommendation systems components and industry models.
  • Proficient in C++ and Python; familiar with Big Data tools and deep learning frameworks.

Responsibilities

  • Work on recommendation systems across products, videos, and live streams for e-commerce scenarios across countries.
  • Optimize models at massive scale using deep learning, transfer learning, and multi-task learning techniques.
  • Conduct data mining and analysis to improve content quality of recommendations.
  • Research topics to enhance diversity, discovery, cold-start handling, and high-quality products/creators.
  • Develop and productionize scalable ML models and data pipelines; run experiments to test performance.
  • Collaborate in a team with statistics, scripting, and programming requirements; work with deployment platforms.

Skills

Strong data structures and algorithms
Problem solving
Communication skills
Teamwork
C++
Python

Education

Bachelor's degree in Computer Science or related field

Tools

Hive/Spark/MapReduce
TensorFlow/PyTorch

Job description

ByteDance in Singapore is seeking a highly skilled ML/AI engineer to advance our large-scale recommendation systems for e-commerce and content.

You will optimize models, conduct data analysis, and run experiments to improve diversity, cold-start handling, and performance across global platforms.

The role requires strong programming in C++/Python and experience with big data and deep learning tools. Join a collaborative team and impact scalable production ML deployments.

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