ML Engineer Intern: Generative Recommendation Foundations

TikTok Inc.

San Jose (CA)

Presencial

USD 41.000 - 69.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

TikTok Inc. is seeking PhD interns to contribute to the Recommendation Foundation team within Data - Global E-commerce. You will participate in end-to-end development of foundation models for recommendations, including multimodal content tokenization and LLM-integrated recommender experiments.

The role emphasizes research-minded software engineering, collaboration with experts, and rolling review of applications. Please specify your availability in your resume (start/end dates).

Formación

  • Pursuing a PhD in CS, EE, math, statistics or related field.
  • Strong foundation in ML and DL with interest in LLMs and generative recommendation.
  • Proficiency in Python and DL frameworks such as PyTorch.
  • Self-driven with a strong research mindset and solid engineering skills.

Responsabilidades

  • Participate in the full training lifecycle of Recommendation Foundation Models (pre-, mid-, 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 recommendation systems across retrieval, ranking, and end-to-end generative recommendation.

Conocimientos

Machine learning
Deep learning
Research mindset
Self-driven

Educación

PhD in Computer Science or related field

Herramientas

PyTorch
Python

Descripción del empleo

TikTok Inc. is seeking PhD interns to contribute to the Recommendation Foundation team within Data - Global E-commerce. You will participate in end-to-end development of foundation models for recommendations, including multimodal content tokenization and LLM-integrated recommender experiments.

The role emphasizes research-minded software engineering, collaboration with experts, and rolling review of applications. Please specify your availability in your resume (start/end dates).

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