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Machine Learning Engineer Graduate (E-Commerce User Growth) - 2027 Start

San Jose, United States of AmericaFull-time2026-10-08

Core

Build and optimize e-Commerce recommendation and marketing algorithms to drive user growth, engagement, and GMV on TikTok Mall.

Role type

Machine Learning Engineer (Graduate)

Builds

User growth engines, personalized messaging, recommendation systems, and intelligent marketing solutions for TikTok e-Commerce.

Domain

E-Commerce, Recommendation Systems, Marketing

Deliverable

production ML models

Required skills

C++, Python, Big Data tools (Hive SQL/Spark/MapReduce), Deep Learning frameworks (TensorFlow/Pytorch), algorithms and data structures (via careerplan.io/jobs/7694352871949682997-machine-learning-engineer-graduate-e-commerce-user-growth-2027-start-at-tiktok)

Preferred skills

LTV estimation, uplift modelling, operations research, sequence modelling, multi-scenario modelling optimization

Responsibilities

Optimize user value modelling, personalized messaging, and recommendations; Establish user lifecycle data and value systems; Implement solutions for personalized push notifications and recommendation handling; Optimize recall/sorting algorithms for new user recommendations; Improve intelligent marketing algorithms using uplift models and operations research.