9 hours ago

Machine Learning Engineer (Recommendation), TikTok e-Commerce

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Build and optimize large-scale e-commerce recommendation systems across heterogeneous scenarios worldwide. You’ll develop state-of-the-art models using deep learning, transfer learning, and multi-task learning, and improve recommendation quality through data mining and research. The role also includes deploying scalable AI/ML models, creating pipelines for real-time unstructured data, and running experiments to measure performance and resolve production issues.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Work on recommendation systems across products, short videos, and live streams, supporting unified models for heterogeneous e-commerce goals across countries.
•Optimize e-commerce recommendation models at massive scale using deep learning, transfer learning, and multi-task learning.
•Perform data mining and analysis to improve the quality of recommended content.
•Develop and iterate state-of-the-art e-commerce models and algorithms, including research to address diversity, discovery, and cold-start problems.
•Build and deploy scalable ML models, run experiments to evaluate performance, and debug issues in production deployments.

Key Requirements

•Strong in data structures and algorithms with excellent problem-solving and programming skills.
•Experience in applied machine learning, including methods such as collaborative filtering, matrix factorization, factorization machines, Word2vec, logistic regression, gradient boosting trees, and/or deep neural networks.
•Experience with core recommendation system components (recall, sort, reranking, and cold-start problem) and mainstream recommendation models.
•Hands-on experience with C++ and Python, plus at least one Big Data tool (Hive SQL, Spark, or MapReduce).
•Familiarity with at least one deep learning tool such as TensorFlow or PyTorch.

Skills:Problem-solvingCommunicationTeamworkPositive mindsetEagerness to learn

Tech Stack:C++PythonHiveSQLSparkMapReduceTensorFlowPyTorchDeep learningTransfer learningMulti-task learning

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

9 hours ago

Machine Learning Engineer (Recommendation), TikTok e-Commerce

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Work on recommendation systems across products, short videos, and live streams, supporting unified models for heterogeneous e-commerce goals across countries.
•Optimize e-commerce recommendation models at massive scale using deep learning, transfer learning, and multi-task learning.
•Perform data mining and analysis to improve the quality of recommended content.
•Develop and iterate state-of-the-art e-commerce models and algorithms, including research to address diversity, discovery, and cold-start problems.
•Build and deploy scalable ML models, run experiments to evaluate performance, and debug issues in production deployments.

Key Requirements

•Strong in data structures and algorithms with excellent problem-solving and programming skills.
•Experience in applied machine learning, including methods such as collaborative filtering, matrix factorization, factorization machines, Word2vec, logistic regression, gradient boosting trees, and/or deep neural networks.
•Experience with core recommendation system components (recall, sort, reranking, and cold-start problem) and mainstream recommendation models.
•Hands-on experience with C++ and Python, plus at least one Big Data tool (Hive SQL, Spark, or MapReduce).
•Familiarity with at least one deep learning tool such as TensorFlow or PyTorch.

Skills:Problem-solvingCommunicationTeamworkPositive mindsetEagerness to learn

Tech Stack:C++PythonHiveSQLSparkMapReduceTensorFlowPyTorchDeep learningTransfer learningMulti-task learning

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn