Senior ML Engineer: GenAI Foundations for Ecommerce Rec

TikTok USDS Joint Venture

Seattle (WA)

On-site

USD 198,000 - 416,000

Full time

3 hours ago
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Job summary

TikTok USDS Joint Venture in Seattle seeks an experienced ML engineer to help build the next-generation foundation model for multi-business recommendation systems, spanning retrieval, ranking, re-ranking, and generative components. You will collaborate with research and engineering teams to integrate multimodal signals, efficient inference, and scalable training.

We value a self-driven researcher who writes clean Python code, uses PyTorch, and contributes to end-to-end system optimization.

Qualifications

  • Bachelor's or Master's in CS/ML or related field.
  • 3+ years in ML/DL or information retrieval.
  • Proficient in Python and PyTorch.
  • Strong self-driven research mindset and collaborative skills.

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 integration of LLMs/VLMs with recommendation systems to develop adaptive intelligent recommenders.
  • Research end-to-end generative recommendation and system optimization methods for efficiency and user experience.

Skills

Python
PyTorch
Machine Learning
Deep Learning
Research mindset

Education

Bachelor's or Master's in Computer Science, ML, or related field

Tools

PyTorch

Job description

TikTok USDS Joint Venture in Seattle seeks an experienced ML engineer to help build the next-generation foundation model for multi-business recommendation systems, spanning retrieval, ranking, re-ranking, and generative components. You will collaborate with research and engineering teams to integrate multimodal signals, efficient inference, and scalable training.

We value a self-driven researcher who writes clean Python code, uses PyTorch, and contributes to end-to-end system optimization.

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