Machine Learning Engineer (Platform Governance)

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Machine Learning Engineer (Platform Governance)

Company Overview

A prominent leader in the global digital content and e-commerce landscape, this organization leverages advanced AI technology to mitigate risks, enhance platform security, and foster a thriving ecosystem. Its innovative approach ensures high-quality content and equitable growth opportunities for creators, merchants, and businesses.

Role Overview

This position focuses on applying cutting-edge machine learning techniques to safeguard the e-commerce platform by identifying risks, improving content quality, and optimizing operations. The role involves building scalable models and tools to support e-commerce scenarios such as content understanding, multimodal representation, and ecosystem management.

Key Responsibilities

• Use algorithms to detect and predict risks related to merchants, products, and creators, enhancing platform security.

• Identify events and behaviors that impact product efficiency and create data models to support ecosystem sustainability.

• Develop solutions for content understanding, community mining, and multimodal representation in areas like live streaming, video, and product management.

• Build and enhance large-scale graph learning platforms to support governance within the e-commerce community.

• Research and implement cutting-edge technologies in machine learning, graph learning, and sequence learning to develop scalable models for practical business applications.

Minimum Qualifications:

• Final-year student or recent graduate in Software Development, Computer Science, Computer Engineering, or related technical fields.

• Proficiency in deep learning and machine learning frameworks (e.g., PyTorch, TensorFlow, sklearn).

• Familiarity with algorithms in machine learning, graph learning, or sequence learning, with experience in areas like graph modeling, node classification, or representation learning.

• Strong coding skills and a solid theoretical foundation in machine learning.

Preferred Qualifications:

• Practical experience in applying algorithms to data mining, content understanding, or governance risk control.

• Publications in reputable computer science conferences (e.g., ACL, EMNLP, NIPS, AAAI) or experience in relevant competitions.

• Proficiency in numpy, pandas, and big data tools such as Hive, Spark, and Hadoop.

• Strong communication skills and a collaborative mindset.

Disclaimer:

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.

2. No Client Relationship: This company is not a client of SpringCube unless stated.

3. Users must click to apply, redirecting to the employer’s career page.

4. No Liability: SpringCube is not liable for inaccuracies.