Machine Learning Engineer (CV/NLP/Multimodal/LLM), TikTok Global E-Commerce

TikTok Pte. Ltd.; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

An innovative platform seeks talented individuals to join a dynamic team focused on leveraging AI technology to enhance e-commerce security and efficiency. This role offers Ph.D. graduates a unique opportunity to work on cutting-edge algorithms that tackle risks and violations in e-commerce scenarios. Collaborate with a diverse team to develop solutions that improve content quality and merchant integrity, while exploring advanced methodologies like reinforcement learning. Join a forward-thinking company that values creativity and teamwork, and be part of shaping the future of e-commerce.

Qualifications

• Final year Ph.D. or recent Ph.D. graduates in relevant fields.
• Strong foundation in algorithms and machine learning theory.

Responsibilities

• Identify algorithms for risk and violation issues in e-commerce.
• Optimize algorithms for large-scale brand libraries and content.

Skills

Data Structures

Machine Learning

Deep Learning

NLP

Computer Vision

Problem Solving

Education

Ph.D. in Computer Science

Ph.D. in Engineering

Ph.D. in Quantitative Fields

Tools

DALL-E

CLIP

GLIDE

Job description

Responsibilities

TikTok is prioritizing applicants who have the right to work in Singapore without requiring visa sponsorship. As the leading platform for short-form mobile videos, TikTok's mission is to inspire creativity and bring joy.

Our global headquarters are in Los Angeles and Singapore, with offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Join us to be part of a team that makes TikTok possible and helps imaginations thrive.

We aim to inspire creativity and bring joy, a mission we pursue daily. We see every challenge as an opportunity to learn, innovate, and grow together. At TikTok, we create and grow as one team, driving impact for ourselves, our company, and the communities we serve.

About the Team

The team leverages advanced AI technology to combat risks and violations on TikTok's e-commerce platform, maintain platform security, build a healthy e-commerce ecosystem, and empower business teams to improve efficiency.

We strive for ultimate risk detection capabilities, ensuring fairness and sustainability in the e-commerce ecosystem, high-quality content, and merchandise. We are looking for talented individuals to join us in 2025.

As a graduate, you will have unparalleled opportunities to start your career, pursue bold ideas, and explore growth opportunities. You can apply to up to two positions, and applications are reviewed on a rolling basis, so early application is encouraged.

Responsibilities

• Identify algorithms for risk, violation, and low-quality issues in e-commerce scenarios such as products, shopping carts, short videos, and live streaming.
• Mine and develop algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
• Optimize algorithms for large-scale brand libraries, products, and content deduplication and clustering.
• Work on data construction, instruction fine-tuning, CoT, alignment, and other tasks for large models in the e-commerce domain to optimize their effectiveness.
• Explore reinforcement learning and operational research algorithms for intelligent dispatching and audit scheduling to improve quality and efficiency.

Qualifications

Minimum Qualifications

• Final year Ph.D. or recent Ph.D. graduates in Computer Science, engineering, or quantitative fields.
• Strong foundation in data structures, algorithms, and machine learning/deep learning theory, with practical experience.
• Familiarity with 1-2 areas such as NLP, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, or LLMs.
• Excellent analytical and problem-solving skills, with a passion for challenging problems.
• Good teamwork and communication skills.

Preferred Qualifications

• Practical experience in relevant business scenarios and good teamwork and communication skills.
• Published papers in top computer science conferences or competition experience.
• Experience with DALL-E, CLIP, GLIDE, or related projects.
• Strong performance in international competitions related to VQA, Image Captioning, or Retrieval.

TikTok values diversity and inclusion, creating a space where employees are valued for their skills and perspectives. Our platform connects people worldwide, and so does our workplace. By applying, you agree to our privacy policy, accessible at https://careers.tiktok.com/legal/privacy. For questions, contact us at [e-mail].