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Machine Learning Engineer Graduate (Global E-Commerce, Recommendation) – 2027 Start (PhD)

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

Expect ML fundamentals, recommender design, experimental design, and coding. Be ready to discuss thesis or past ranking/personalization work, failure modes of online metrics, and how you would improve e-commerce recommendations under latency and data constraints.

Fit summary

Strong fit if you are a PhD candidate or graduate aiming at industrial recommendation ML for consumer e-commerce scale, and you are open to an on-site Singapore start around 2027.

Day in the role

As a Machine Learning Engineer Graduate on TikTok’s global e-commerce recommendation team, expect research-to-production work: framing ranking and personalization problems, building and evaluating models on large interaction data, and partnering with product and engineering to ship recommender improvements. A PhD-oriented graduate track typically emphasizes rigorous experimentation, clear metrics, and written communication of findings before models reach live traffic.

Skills to emphasize

Prioritize recommendation systems (retrieval, ranking, multi-task learning), large-scale training and evaluation, Python/ML frameworks, A/B testing and offline metrics, and clear research write-ups. No certification list was provided for this family.

FAQ from this listing

Is this role remote?

No. The listing marks remote as off and locations the job in Singapore.

What is the focus area?

Global e-commerce recommendation for TikTok, aimed at a PhD-level graduate ML engineer starting in 2027.

Is salary or review data included here?

No verified salary or employee-review figures were provided in the source data, so none are shown.

Company facts (cached)

Website: tiktok.com

Public cache only — not an employee review.

Role overview (listing rewrite)

MACHINE LEARNING ENGINEER GRADUATE (GLOBAL E-COMMERCE, RECOMMENDATION) - 2027 START (PHD)TikTokSingapore About the Role Join TikTok's fast-growing E-commerce team in Singapore as a Machine Learning Engineer Graduate. Our group focuses on developing innovative algorithms for e-commerce recommendations, leveraging live-streaming and short videos to connect customers with quality products from excellent sellers. What You'll Do Contribute to the development of advanced machine learning models for product recommendation systems Analyze data to improve recommendation accuracy and user experience Collaborate with cross-functional teams, including data scientists and engineers, to implement cutting-edge solutions Stay updated with the latest trends in machine learning and apply them to enhance our E-commerce offerings What We're Looking For A recent PhD graduate in Computer Science, Data Science, or a related field Demonstrated experience in machine learning and data analysis Proficiency in Python, R, or other programming languages commonly used for data science and machine learning Experience with big data tools like Hadoop, Spark, or similar technologies is a plus A strong understanding of algorithm design and optimization techniques Excellent communication skills to collaborate effectively within the team About TikTok TikTok is a global social media platform that connects people through short videos. Our E-commerce business aims to revolutionize online shopping experiences by integrating live-streaming and short video content with advanced recommendation algorithms. Apply Today 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 · 2026-08-06 UTC · getajob.ai