Machine Learning Engineer , TikTok Engineering (Singapore) - 2025 Start

Responsibilities:

• Build machine learning solutions for TikTok products/platforms.
• Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning.
• Understand product objectives and machine learning techniques; improve model and recommendation strategy.
• Understand user behavior and apply ML algorithms to optimize content consumption and production experience.
• Work with cross functional teams to grow company's product in important regional markets.

Qualifications
Minimum Qualifications:

• Final year or recent graduate with a background in computer science, computer engineering, information systems or a related technical discipline from a university.
• Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
• Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.
• Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

Preferred Qualifications:

• Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.
• Strong publications record in top conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, etc) and journals (e.g., TPAMI, JMLR).
• Track record of high impact research.

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