Algorithm Engineer - Global E-Commerce (Knowledge Graph) Technology - Algorithm Singapore Regular

ByteDance; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

ByteDance in Singapore is looking for an Algorithm Engineer to innovate and develop product knowledge graphs aimed at enhancing online shopping experiences. The successful candidate will create advanced models and algorithm solutions that significantly improve supply operational efficiencies.

The role requires a Bachelor’s degree in a relevant field and strong coding skills in technologies like Python, Java, or C/C++. Familiarity with machine learning frameworks is a plus. Ideal candidates should also have a strong analytical mindset.

Qualifications

• Hands-on experience in NLP, Computer Vision, or Machine Learning.
• Strong coding skills in Python, Java, C/C++, or Spark.
• Analytical and problem-solving skills required.

Responsibilities

• Develop state-of-the-art models to impact the platform.
• Build and optimize algorithm solutions for operational efficiencies.
• Maintain and improve algorithm robustness and stability.

Skills

NLP

Computer Vision

Machine Learning

Python

Java

C/C++

Spark

Education

Bachelor’s or higher in computer science or related disciplines

Tools

PyTorch

TensorFlow

Keras

Job description

Algorithm Engineer – Global E-Commerce (Knowledge Graph)

Our team is responsible for developing large‑scale product knowledge graphs to improve online shopping experience.

Responsibilities

• Develop state‑of‑the‑art models to solve challenging problems that impact the platform and millions of customers.
• Build and continuously optimize algorithm solutions in product matching, price comparison, etc., to improve supply operational efficiencies.
• Continuously maintain and improve the robustness, stability, and computational efficiencies of algorithm solutions in a live business environment.

Qualifications

• Minimum: Bachelor’s or higher in computer science, computer engineering, statistics, applied mathematics, data science, or related disciplines.
• Hands‑on experience and strong skills in at least one of the following technology areas:
  • NLP (natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining, classification)
  • Computer Vision (facial recognition, multimodal learning, object detection & tracking, image classification)
  • Machine Learning (transfer learning, graph embedding, representative learning, large‑scale optimization, recommendation, reinforcement learning)
• Strong coding skills in at least one of the following: Python, Java, C/C++, Spark, etc.; familiar with a deep learning framework: PyTorch, TensorFlow, Keras, etc.
• Strong analytical and problem‑solving skills.
• Preferred: Work experience in e‑commerce or Internet industry.