Machine Learning Engineer (Recommendation) ,TikTok e-Commerce Alliance

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok is seeking a skilled ML engineer for its e-commerce alliance team in Singapore. You will build scalable ML models to predict real-time creator interests, optimize product recommendations, and improve monetization for merchants while supporting rapid ML deployment and experimentation.

The role requires strong C++/Python, experience with big data tools and DL frameworks, and a track record in personalized recommendation or online advertising.

Qualifications

• Bachelor's/Master/PhD in Computer Science or related field.
• Experience in C++ and Python; proficiency in Big Data tools (Hive SQL, Spark, MapReduce).
• Experience with DL tools (TensorFlow, PyTorch).
• Applied ML with algorithms like CF, Matrix Factorization, FGMs, Word2vec, LR, GBDT, DNNs.

Responsibilities

• Build and design ML algorithms to model real-time creator interests to improve conversion efficiency.
• Optimize large-scale commodity relationship mining, ranking, and product recommendations to boost GMV.
• Analyze creator and merchant behavior to deploy targeted algorithm strategies.
• Support rapid development of e-commerce ML models and scalable solutions.
• Run experiments to test model performance and debug issues in production.

Skills

C++

Python

Collaborative Filtering

Matrix Factorization

Factorization Machines

Word2vec

Logistic Regression

Gradient Boosting Trees

Deep Neural Networks

Statistics

Scripting

Education

Bachelor's/Master/PhD in Computer Science or related fields

Tools

Hive SQL

Spark

MapReduce

TensorFlow

PyTorch

Job description

About the team

The e-commerce alliance team aims to serve merchants and creators on the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

Responsibilities

• Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency
• Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform
• Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading
• Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote ecological development
• Support the production of scalable and optimised AI/machine learning (ML) models
• Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
• Work with the relevant software platforms in which the models are deployed

Minimum Qualifications

• Bachelor's or Master's or PhD degree in Computer Science or related fields.
• Experience in C++ and Python. Proficiency in at least one Big Data tool (e.g., Hive SQL, Spark, MapReduce) and at least one Deep Learning tool (e.g., TensorFlow, PyTorch).
• Applied machine learning experience, familiarity with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, etc.
• Industry experience in personalized recommendation, online advertising, information retrieval, or related fields.

Preferred Qualifications

• Excellent learning ability and good communication and cooperative spirit.
• Passionate about techniques and solving challenging problems.
• Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys, and related conferences.