Machine Learning Engineer - User Growth - Recommendation - Singapore

Responsibility

- Develop large-scale machine learning algorithms and build industry leading recommendation systems to optimize user retention rates.

- Data-driven: connect data to real-world user experiences using superior data sensitivity and analytical skills.

- Using deep understanding of systems and scenarios, deliver end-to-end solutions to achieve the growth targets in diverse scenarios and recommendation systems.

- Work cross-functionally with product managers, data scientists, and engineers to understand insights, formulate problems, and design, refine, and test machine learning algorithms and strategies.

QualificationsMinimum Qualifications:

- Master's degree (or higher) with a background in computer science, machine learning, or related fields.

- Minimum 2 years hands-on experience in one or more of the following areas: recommendation systems, machine learning, deep learning, large language model, computer vision, NLP, causal inference or multimodal machine learning.

- Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. Have a deep understanding of data structures and algorithms.

- Good communication and teamwork skills are required. Applicants must be passionate about learning new techniques and tackling challenging problems.