Graduate ML Engineer — Global E‑Commerce Growth

TikTok

Singapore

On-site

SGD 65,000 - 105,000

Full time

8 days ago

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Job summary

TikTok is seeking a Machine Learning Engineer Graduate to join the User Growth team focusing on global e-commerce growth. You will work on promotion algorithms and real-time budget optimization that directly influence tens of millions of users and billions in GMV.

The role offers opportunities to tackle bold ideas, learn rapidly, and contribute to a joint optimization of content recommendation and subsidies. Applicants should be graduating in 2027 and can apply to two positions at most.

Qualifications

  • Bachelor's or Master's in Computer Science, Mathematics, Statistics, Operations Research, or related field, with solid algorithms/data structures knowledge.
  • Strong expertise in machine learning and deep learning for recommendation/advertising/marketing.

Responsibilities

  • Model user demand elasticity across products and coupon values with optimization to maximize GMV and conversion rate.
  • Design globally optimal budget allocation and pricing algorithms for large-scale budgets across billions of users and products.
  • Integrate real-time voucher capabilities into recommendation pipelines across video, live, and marketplace to enable joint traffic+subsidy decisions.
  • Research and productionize causal inference and AI technologies (Uplift Modeling, E2E Modeling, RL, LLMs, AI Agents) to improve user conversion.

Skills

Algorithms & data structures
ML/DL
Causal Inference/Uplift Modeling
Operations Research optimization
CTR/CVR estimation

Education

Bachelor's or Master's in CS/Math/OR

Job description

TikTok is seeking a Machine Learning Engineer Graduate to join the User Growth team focusing on global e-commerce growth. You will work on promotion algorithms and real-time budget optimization that directly influence tens of millions of users and billions in GMV.

The role offers opportunities to tackle bold ideas, learn rapidly, and contribute to a joint optimization of content recommendation and subsidies. Applicants should be graduating in 2027 and can apply to two positions at most.

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