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Machine Learning Engineer, Senior Engineer – Paid Ads

SpringCube

Full time - Associate/Junior Executive

Retail & Ecommerce

Singapore ( Onsite )

Published 4 weeks ago

Salary: Disclosed upon interview

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      Job Description

      The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

      Machine Learning Engineer, Senior Engineer – Paid Ads

      Company Overview
      This leading e-commerce platform operates across Southeast Asia and Taiwan, providing customers with a secure, fast, and efficient online shopping experience. Backed by strong payment and logistical support, this company is dedicated to delivering cutting-edge solutions for e-commerce users and advertisers.

      Job Description
      The Machine Learning Engineer will join the team responsible for the development of advanced machine learning algorithms to optimize advertising systems, enhance user engagement, and improve monetization performance.

      Responsibilities

      • Develop large-scale ad systems, including recall, pre-ranking, and ranking pipelines.
      • Build and maintain machine learning training jobs for advertising systems.
      • Design, implement, and deploy machine learning models into production to deliver measurable business impact.
      • Research and develop advertising bidding algorithms and traffic control mechanisms.
      • Collaborate with software engineers, product managers, and cross-functional teams to integrate machine learning strategies into production environments.

      Requirements

      • Bachelor’s degree or higher in Computer Science, Data Science, Machine Learning, or a related field.
      • 2+ years of experience with search, recommendation, or ad systems, specifically in matching/ranking models (e.g., DSSM, DIN, MMoE).
      • Proficiency with machine learning frameworks such as TensorFlow, PyTorch, and LLM libraries like Hugging Face or vLLM.
      • Solid knowledge of data analysis, feature engineering, model training, evaluation, distillation, fine-tuning, and deployment.
      • Excellent problem-solving and analytical skills with a focus on scalable, practical solutions.
      • Familiarity with Python, Spark, Hive, TensorFlow, or similar technologies.

      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.

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