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Machine Learning Engineer, Senior Engineer – Paid Ads

SpringCube

Full time - Manager

Retail & Ecommerce

Singapore ( Onsite )

Published 1 week ago

Salary: SGD10,000 - SGD15,000

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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

      A leading e-commerce platform in Southeast Asia and Taiwan, this organization is dedicated to enhancing its platform with innovative, scalable solutions. Focused on product optimization and personalized user-centered strategies, the company has established a reputation for leveraging cutting-edge technology to meet the needs of consumers and advertisers.

      Job Description

      The Machine Learning Engineer will play a key role in the development and optimization of advanced machine learning solutions for paid advertisements. This position focuses on building algorithms, improving monetization efficiencies, and collaborating with cross-functional teams to implement large-scale machine learning systems.

      Key Responsibilities:

      • Participate in the development of a large-scale Ads system.
      • Develop and optimize industry-leading algorithms for paid ads pipelines, including recall, pre-ranking, and ranking stages.
      • Design, develop, and maintain machine learning training data jobs for advertising purposes.
      • Research and create Ads Bidding algorithms and traffic control mechanisms.
      • Deploy machine learning models into production to deliver measurable business impact.
      • Collaborate with software engineers and product managers to integrate machine learning solutions into production systems.

      Requirements

      Education & Experience:

      • Bachelor’s degree or higher in Computer Science, Data Science, Machine Learning, or a related field.
      • At least 2 years of experience with search, recommendation, or ads systems, with expertise in machine learning algorithms for matching and ranking models (e.g., DSSM, DIN, MMoE).

      Technical Skills:

      • Proficient in machine learning frameworks such as TensorFlow and PyTorch.
      • Familiarity with LLM libraries like Hugging Face and vLLM.
      • Strong background in data analysis, feature engineering, and the full lifecycle of model development (training, evaluation, distillation, fine-tuning, deployment).
      • Programming expertise in Python, Spark, Hive, and TensorFlow.

      Additional Competencies:

      • Excellent problem-solving and analytical skills.
      • Strong ability to deliver practical and scalable solutions.
      • Effective collaboration with cross-functional teams.

      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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      SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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