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(General Hire) Machine Learning Scientist Graduate (TikTok Recommendation) - 2027 Start (PhD)

San Jose, United States of America💼 Full-time🗓 2026-09-28

Core

Build industry-leading recommendation systems to improve user experience, content ecosystem, and platform security.

Role type

PhD-level machine learning scientist (recommendation systems)

Builds

Production recommendation models and end-to-end ML solutions

Domain

Social media, recommendation algorithms, deep learning

Deliverable

production ML models

Required skills

deep learning frameworks (PyTorch, TensorFlow), deep neural network architectures, C/C++, Python, shell programming, data structure and algorithm design

Preferred skills

applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing ML products, first-author publications in top AI conferences, internship in AI research organization

Technologies

PyTorch, TensorFlow, C, C++, Python

Responsibilities

Design product strategies to grow TikTok in important markets, optimize algorithms and infrastructure to improve recommendation performance, deliver end-to-end machine learning solutions for critical product challenges

Seniority

PhD graduate, research-focused IC

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