Graduate ML Engineer: Global E-Commerce Recommendations

re-zoo-me; Singapore; Hybrid; SGD 50,000 - 80,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

ByteDance in Singapore is seeking graduates to join our fast-growing ML and data science team working on e-commerce recommendations across live streams, short videos, and product suggestions.

You will build user interest models, design scalable data pipelines, and experiment with CTR and conversion rate prediction while collaborating with engineers and researchers to deploy effective ML solutions.

Qualifications

• Bachelor's degree in software-related field.
• Experience with at least one programming language like C++/Python.
• Experience in applied machine learning, familiar with algorithms such as Collaborative Filtering, Matrix Factorization, Word2vec, DL models.

Responsibilities

• Participate in building large-scale (billion-level) E-commerce recommendation algorithms and systems.
• Build long and short term user interest models and design efficient data pipelines.
• Design and iterate on predictive models for CTR/CR, including real-time data pipelines and feature engineering.
• Develop supporting/debugging tools and deploy ML models in production.
• Run experiments to evaluate model performance and resolve issues.

Skills

Programming

Problem-solving

Applied machine learning

Deep Learning

TensorFlow/PyTorch

C++/Python

Education

Bachelor's degree in Software Development, Computer Science, Computer Engineering

Master's degree in Software Development, Computer Science, Computer Engineering

Tools

Job description

ByteDance in Singapore is seeking graduates to join our fast-growing ML and data science team working on e-commerce recommendations across live streams, short videos, and product suggestions.

You will build user interest models, design scalable data pipelines, and experiment with CTR and conversion rate prediction while collaborating with engineers and researchers to deploy effective ML solutions.