Generative E‑commerce ML Engineer

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 130,000 - 246,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid time off

Parental leave

Job summary

TikTok USDS Joint Venture is hiring for a research-oriented engineer to help build cross-scenario Foundation Models for a unified recommendation system across retrieval, ranking, and re-ranking stages. The role emphasizes a balance of research and engineering excellence in a fast-paced environment.

You will work with Python, PyTorch, and large-scale model techniques, pursuing innovative ideas and contributing to end-to-end generative recommendation strategies that enhance user experience.

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
• 1+ years of experience in machine learning, deep learning, or information retrieval.
• Proficiency in Python and familiarity with mainstream deep learning frameworks (e.g., PyTorch).
• Strong passion for intelligent recommendation systems and a self-driven research mindset.

Responsibilities

• Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
• Apply LLM technologies across retrieval, ranking, and re-ranking stages; participate in model training, inference optimization, and system co-design.
• Explore the integration of LLMs / VLMs with recommendation systems to develop adaptive and evolving intelligent recommenders.
• Research end-to-end generative recommendation and system optimization methods that balance efficiency and user experience.

Skills

Python

PyTorch

Machine Learning

Education

Bachelor's or Master's in Computer Science / Machine Learning

PhD in CS / ML (preferred)

Tools

PyTorch

LLMs / Foundation Models

Job description

TikTok USDS Joint Venture is hiring for a research-oriented engineer to help build cross-scenario Foundation Models for a unified recommendation system across retrieval, ranking, and re-ranking stages. The role emphasizes a balance of research and engineering excellence in a fast-paced environment.

You will work with Python, PyTorch, and large-scale model techniques, pursuing innovative ideas and contributing to end-to-end generative recommendation strategies that enhance user experience.