Graduate ML Engineer: Conversational AI & Agent Systems

TikTok; Seattle, Northern (WA, KY); Hybrid; USD 122,000 - 243,000; Full time

Job summary

TikTok is seeking a Machine Learning Engineer Graduate (Conversational AI) for a 2027 start in Seattle. You will join a team building a universal Agent system for TikTok Shop across dozens of languages, with a focus on self-evolving loops, memory, and tool integration.

The role emphasizes safety, evaluation, and production-grade AI systems. You should have a CS/Math/related degree, strong Python, and experience with ML/NLP and LLMs or agents through coursework, research, internships, or

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline.
• Strong Python plus one of C++ / Go / Rust / Java.
• Solid ML / DL / NLP fundamentals with hands-on LLM/agent experience.
• Basic statistical literacy and ability to interpret results.
• Ability to read research and implement from papers or blogs.

Responsibilities

• Build the next-generation unified Agent system for TikTok's global e-Commerce customer service across 30+ languages.
• Develop context, memory, and retrieval components for long multi-turn agents.
• Extend post-training workflows and data flywheel to improve model performance.
• Develop Tools, Skills, and MCP with governance and on-demand loading.
• Design evaluations and safety features for production-grade agents.
• Enable online experimentation, shadowing, and A/B testing with robust metrics.

Skills

Python

C++

Go

Rust

Java

Education

Bachelor's degree in Computer Science

Job description

TikTok is seeking a Machine Learning Engineer Graduate (Conversational AI) for a 2027 start in Seattle. You will join a team building a universal Agent system for TikTok Shop across dozens of languages, with a focus on self-evolving loops, memory, and tool integration.

The role emphasizes safety, evaluation, and production-grade AI systems. You should have a CS/Math/related degree, strong Python, and experience with ML/NLP and LLMs or agents through coursework, research, internships, or