Real-Time Recommendation ML Engineer for E-commerce

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading tech company in Singapore is looking for a Machine Learning Engineer to join their e-commerce alliance team. The ideal candidate should have expertise in C++ and Python, with experience in building and optimizing algorithms for real-time data processing. You will work on enhancing the shopping experience for users and empower merchants through efficient strategies. Candidates should have a strong academic background in Computer Science and applied machine learning experience. Join a dynamic team to innovate in the e-commerce space.

Benefits

Career growth opportunity

Flat organization

Competitive compensation

Qualifications

• Experience in applied machine learning and familiarity with algorithms such as Collaborative Filtering and Deep Neural Networks.
• Industry experience in personalized recommendation, online advertising, or information retrieval.
• Excellent learning ability and good communication skills.

Responsibilities

• Build and design large-scale machine-learning algorithms to improve conversion efficiency.
• Optimize product recommendations and improve overall GMV.
• Analyze behavior of creators and merchants to boost monetization efficiency.

Skills

C++

Python

Big Data tools (Hive SQL, Spark, MapReduce)

Deep Learning tools (TensorFlow, PyTorch)

Machine learning algorithms

Education

Bachelor's or Master's or PhD in Computer Science or related fields

Job description

A leading tech company in Singapore is looking for a Machine Learning Engineer to join their e-commerce alliance team. The ideal candidate should have expertise in C++ and Python, with experience in building and optimizing algorithms for real-time data processing. You will work on enhancing the shopping experience for users and empower merchants through efficient strategies. Candidates should have a strong academic background in Computer Science and applied machine learning experience. Join a dynamic team to innovate in the e-commerce space.