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Machine Learning Engineer, Business Integrity

SpringCube

Full time - Senior Associate/ Asst Manager

Digital Entertainment

Singapore ( Onsite )

Published 3 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 above to find your next career move.

Machine Learning Engineer, Business Integrity

Company Overview:
A global leader in short-form mobile video, this platform encourages creativity and joy, serving over a billion users worldwide. With offices in major cities worldwide, they provide limitless opportunities for individuals passionate about innovation. The Business Integrity team prioritizes user-centered solutions, building scalable machine learning models that enhance the monetization ecosystem and user experience.

Job Description:
This role involves designing advanced machine learning solutions to support business integrity and monetization strategies. Responsibilities include overseeing content understanding of commercial products (ads, e-commerce, short video, live streaming), developing scalable ML models for monetization, and building a content understanding system with techniques like pre-training, self-supervised learning, and few-shot learning. Additionally, the role focuses on implementing AIGC-based monetization systems.

Responsibilities:

  1. Lead content understanding for commercial products, including ads and e-commerce.
  2. Create and optimize scalable machine learning models for the monetization ecosystem.
  3. Improve computational efficiency for large-scale business data.
  4. Implement and experiment with advanced technologies like pre-training and self-supervised learning.
  5. Explore AIGC techniques to develop next-generation monetization systems.

Qualifications:

  • Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Strong foundation in machine learning techniques (classification, clustering, regression, etc.) with proficiency in a deep learning framework (e.g., PyTorch, TensorFlow).
  • Experience in at least one area: computer vision, NLP, audio processing, multimodal ML, graph networks, or model acceleration techniques.
  • Proficiency in data structures and algorithms, strong analytical, problem-solving, and communication skills.
  • Curiosity for emerging technologies, with a high level of integrity and responsibility.
  • Experience publishing in top AI conferences or journals is a plus.
  • Familiarity with generative models (e.g., GPT, Stable Diffusion) is advantageous.

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.