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Prepare ML fundamentals and systems thinking for integrity/governance use cases (abuse, fraud, content or commerce risk), coding and modeling trade-offs at scale, and how you would measure harm reduction vs. user experience. Expect discussion of research depth (PhD) applied to production e-commerce platforms.
Strong fit if you want applied ML on e-commerce platform governance at a large consumer-internet company, can start in 2027 at PhD level, and prefer Singapore on-site work. Weak fit if you need remote work, pure academic research only, or published salary benchmarks (none in data).
As a Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) starting 2027 (PhD track) at ByteDance in Singapore, expect work on models and systems that support e-commerce safety, integrity, and policy enforcement—data analysis, model experiments, evaluation, and cross-team reviews with product and governance stakeholders rather than pure research isolation.
No cert family or priced resources were supplied. Focus on: supervised/unsupervised ML, evaluation under policy constraints, large-scale data pipelines, A/B or offline metrics, and clear write-ups for governance decisions. Formal certificates are optional for this listing.
No. The listing flags remote as off; location is Singapore.
ML work supporting rules, safety, and integrity for global e-commerce platforms—not only recommendation growth models.
The title specifies a 2027 start for this PhD graduate track.
Website: bytedance.com
ByteDance is a Chinese internet technology company headquartered in Haidian, Beijing. Its associated variable-interest entity, ByteDance Ltd, is incorporated in the Cayman Islands.
Public cache only — not an employee review.
MACHINE LEARNING ENGINEER GRADUATE (GLOBAL E-COMMERCE, PLATFORM GOVERNANCE) - 2027 START (PHD)ByteDanceSingapore What This Role Involves The role involves using advanced algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios. You will assist businesses in managing and controlling these risks. Responsibilities include identifying events and behaviors that impact product quality and user experience. Core Duties Develop algorithms to detect and mitigate risks in e-commerce platforms. Analyze data to predict low-quality merchants, products, and creators. Implement machine learning models to improve platform governance and user safety. Collaborate with cross-functional teams to ensure the effectiveness of risk management strategies. Qualifications PhD in Computer Science, Data Science, or a related field. Strong background in machine learning and data mining techniques. Experience with Python, R, or other programming languages used for data analysis and modeling. Familiarity with big data technologies such as Hadoop, Spark, or similar tools. Aptitude for solving complex problems through algorithmic approaches. About the Company ByteDance is a global technology company that operates various digital platforms and apps. The company focuses on innovation and cutting-edge technologies to enhance user experience across its diverse portfolio of products. With a strong emphasis on research and development, ByteDance offers an exciting environment for professionals to contribute to groundbreaking projects. Next Steps 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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