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Machine Learning Engineer (Content Ecology & Creator)
Summary by AIEngineer.careers
Machine Learning Engineer (Content Ecology & Creator) is a Machine Learning Engineer role (full-time). with TikTok. in SEATTLE, US. Compensation shown: $154K–$301K. Imported listing (source: jobs-in.us). Apply on the employer's site (jobs-in.us).
Imported listing (source: jobs-in.us) · Apply on jobs-in.us
SEATTLE · US
$154K–$301K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-in.us
Join the E-commerce Governance team at TikTok as a Machine Learning Engineer to build robust systems ensuring ecosystem fairness. You will leverage advanced AI techniques including LLM agents, Retrieval-Augmented Generation (RAG), Graph Neural Networks (GNN), and sequence modeling to address complex governance challenges.
Responsibilities
- Develop and deploy ML models for content governance and ecosystem safety.
- Implement LLM agents and RAG pipelines for automated decision support.
- Utilize GNNs and sequence modeling techniques to analyze user and content interactions.
- Collaborate with cross-functional teams to ensure platform integrity.
Requirements
- Experience in machine learning engineering with a focus on large-scale systems.
- Proficiency in building LLM-based applications, including agents and RAG architectures.
- Strong background in graph neural networks or sequence modeling.
- Ability to solve real-world governance and fairness problems using AI.
Nice to Have
- Experience in content moderation or trust and safety domains.
TikTok
Los Angeles · US · 36997+ employees
TikTok is a short-form video hosting social media platform owned by ByteDance. It provides tools for content creation, sharing, and social networking, serving a global audience.
