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Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) – 2027 Start (PhD) Singapore Regular PhD Graduates – 2027 Start

Tik Tok · Singapore

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Prepare PhD-depth ML (metrics under skew, leakage, online vs offline), plus e-commerce risk scenarios (collusion, promo abuse). Be ready to walk a thesis project into a shippable risk model.

Fit summary

Strong fit for PhD graduates targeting a 2027 Singapore start who want applied ML on TikTok e-commerce risk rather than general consumer ranking.

Day in the role

As a Machine Learning Engineer Graduate on TikTok’s Global E-Commerce Risk Control track (PhD, 2027 start, Singapore), expect work on models and pipelines that score fraud, abuse, and policy risk in marketplace flows: feature jobs, offline evaluation, and iteration with risk and product partners—not consumer FYP content ranking.

Skills to emphasize

Prioritize risk/fraud ML, imbalanced classification, feature stores on commerce signals, and production evaluation. No certificate resources were provided for this role.

FAQ from this listing

Is this role remote?

No. The listing is Singapore-based with remote set to off.

When does the graduate program start?

The posting targets a 2027 start for regular PhD graduates.

What problem area is this team in?

Global e-commerce risk control: ML to detect and reduce marketplace risk, not general feed ranking.

Company facts (cached)

Website: tiktok.com

Public cache only — not an employee review.

Role overview (listing rewrite)

MACHINE LEARNING ENGINEER GRADUATE (GLOBAL E-COMMERCE, RISK CONTROL) - 2027 START (PHD)TikTokSingapore Role Overview The Machine Learning Engineer Graduate role at TikTok in Singapore is designed for recent PhD graduates to join the E-Commerce Risk Control (ECRC) team. This position focuses on developing and implementing advanced machine learning models to enhance user safety across global e-commerce platforms. Responsibilities Develop, train, and deploy machine learning models to improve risk control in e-commerce transactions. Analyze data to identify patterns and trends that can inform the development of new security measures. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. Conduct experiments and tests to validate model performance and ensure accuracy. Who We're Looking For Recent PhD graduates in Computer Science, Machine Learning, or a related field. Strong background in machine learning algorithms and techniques. Familiarity with Python, R, or other programming languages commonly used in data science. Experience with big data technologies such as Hadoop, Spark, or similar frameworks is beneficial. Aptitude for problem-solving and a passion for innovation. About the Company TikTok is committed to fostering an environment where creativity and technology intersect. As part of the ECRC team, you will contribute to safeguarding users while driving cutting-edge advancements in machine learning applications. Join us in Singapore as we continue our mission to protect global e-commerce communities. Applying for This Role To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

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Questions to ask them

Generated for personal interview prep · 2026-08-24 UTC · getajob.ai