Machine Learning Engineer - Location Product -Singapore

TIKTOK PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading technology and social media platform is seeking a talented individual to develop transaction recommendation algorithms for local services. The role demands a strong foundation in machine learning and deep learning, with a focus on enhancing user experience across various services. Ideal candidates will have excellent problem-solving skills and a collaborative spirit. This position is based in Singapore and offers the chance to work on innovative projects that impact millions globally.

Qualifications

• Bachelor's degree or above in computer science or a related field.
• Strong programming skills and foundation in machine learning/deep learning.
• Experience in recommendation systems or LLM-related fields preferred.
• Excellent problem analysis and communication abilities.

Responsibilities

• Develop transaction recommendation algorithms for international local services.
• Optimize recall strategies and model architectures.
• Conduct in-depth analysis of local services industry characteristics.
• Improve user interactions and overall transaction experience.

Skills

Machine learning

Deep learning

Recommendation systems

Computational advertising

Data mining

Analytical techniques

Education

Bachelor's degree in computer science or related field

Job description

Responsibilities

• Responsible for developing transaction recommendation algorithms for international local services. Collaborate with the team to build an industry-leading recommendation system, accurately recommending local service products to hundreds of millions of global users, increasing transaction volume, and enhancing the user transaction experience.
• Proficient in core algorithms related to recommendations, with a deep understanding of machine learning, deep learning, and LLM algorithms applied in video, live streaming, geographic location, and product recommendation systems. Optimize recall strategies, model architectures, and multi-objective optimization mechanisms to improve recommendation efficiency and accuracy.
• Drive the integration of local service transaction optimization with industry knowledge. Conduct in-depth analysis of the characteristics of the local services industry, focusing on typical domains such as hotels, travel, and dining. Combine industry knowledge with recommendation algorithms to enhance user transaction experiences, improve conversion efficiency, and facilitate scalable growth of GMV in local services.
• Optimize user transaction and decision-making experiences. Conduct in-depth research on user discovery behaviors, leveraging data mining and analytical techniques to improve user interactions during transactions and overall experience. Strengthen user trust and loyalty to the platform.

Minimum Qualifications

• Bachelor\'s degree or above in computer science or a related field.
• Strong programming skills with a solid foundation in machine learning/deep learning; candidates with experience in recommendation systems, computational advertising, search engines, or LLM-related fields will be preferred.
• Passionate about recommendation algorithms and machine learning, with a willingness to learn, think critically, delve deeply, and innovate.
• Excellent problem analysis and solving skills, along with strong communication abilities and a collaborative team spirit.