Senior ML Engineer – LLMs & Multimodal for E-commerce

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 178,000 - 342,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid parental leave

Wellbeing benefits

Job summary

TikTok USDS Joint Venture in Seattle is hiring for a senior AI/ML role focused on building and optimizing large language model systems for e-commerce governance and risk control. You will architect end-to-end pipelines, apply advanced NLP techniques, and push for production-ready performance across multilingual contexts.

The job emphasizes on-site collaboration with cross-functional teams, strong background in ML/NLP, and experience deploying models in fast-paced environments.

Qualifications

• MS or PhD in Computer Science, AI, Mathematics, or a related field.
• 5+ years of professional experience in ML, NLP, or Computer Vision.
• Proficiency in C++, Python, Go, or Java.

Responsibilities

• Architect and develop sophisticated LLM-based systems to process high-dimensional unstructured data from diverse sources.
• Define and implement complex semantic understanding frameworks for deep contextual awareness.
• Apply state-of-the-art techniques to enhance model performance, including Instruction Tuning, RLHF/DPO, and Contextual Prompt Engineering.
• Optimize model serving for production environments using quantization, distillation, and efficient attention mechanisms.

Skills

LLM systems

Semantic understanding

Instruction Tuning

Reinforcement learning

Multilingual NLP

Education

MS or PhD in Computer Science, AI, Mathematics

Tools

C++

Python

Go

Java

Job description

TikTok USDS Joint Venture in Seattle is hiring for a senior AI/ML role focused on building and optimizing large language model systems for e-commerce governance and risk control. You will architect end-to-end pipelines, apply advanced NLP techniques, and push for production-ready performance across multilingual contexts.

The job emphasizes on-site collaboration with cross-functional teams, strong background in ML/NLP, and experience deploying models in fast-paced environments.