Graduate ML Engineer: Generative LLM & Multimodal Models

TikTok

San Jose (CA)

On-site

USD 162,000 - 388,000

Full time

11 days ago

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Job summary

TikTok is building the Recommendation Foundation Models within its Data – Global E-commerce organization, advancing beyond click prediction to general-purpose recommendations. You will contribute to training, modeling, and deploying multimodal systems and LLM-driven strategies in a highly collaborative environment.

As a candidate, you should have a strong ML background, Python proficiency, and experience with PyTorch, plus a research mindset and engineering skills to ship impactful models at

Qualifications

  • PhD in Computer Science, Electrical Engineering, Mathematics, Statistics or related field.
  • Strong foundation in machine learning and deep learning, with interest in LLMs/generative recommendation.
  • Proficiency in Python and experience with PyTorch.
  • Self-driven with a strong research mindset and solid engineering skills.

Responsibilities

  • Participate in the full training lifecycle of Recommendation Foundation Models, including pre-training, mid-training, and post-training.
  • Design and train multimodal semantic tokenizers for recommendation items using foundation models.
  • Develop LLM-native recommendation by integrating tasks into large language model training.
  • Build next-gen recommender systems spanning retrieval, ranking, and end-to-end generation.

Skills

Python
Machine Learning
Research mindset

Education

PhD in Computer Science or related field

Tools

PyTorch

Job description

TikTok is building the Recommendation Foundation Models within its Data – Global E-commerce organization, advancing beyond click prediction to general-purpose recommendations. You will contribute to training, modeling, and deploying multimodal systems and LLM-driven strategies in a highly collaborative environment.

As a candidate, you should have a strong ML background, Python proficiency, and experience with PyTorch, plus a research mindset and engineering skills to ship impactful models at

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