ML Engineer Intern: Ads Systems & NLP Impact

TikTok

San Jose (CA)

Presencial

USD 55 000 - 69 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Health insurance
Life insurance
Wellbeing benefits
Housing allowance
Paid holidays

Resumo da oferta

TikTok is seeking interns for its Search Ads team to work on large-scale ads systems, NLP, and ranking strategies. You will apply machine learning to improve ad relevance and delivery, while exploring real-world challenges across multiple apps.

We offer hands-on experience, industry exposure, and opportunities to contribute to product strategy while gaining professional growth. Expect a collaborative environment with access to health benefits and housing allowances where applicable.

Qualificações

  • Pursuing a Bachelor’s degree or above in CS/SE/CE or related field.
  • Strong grounding in machine learning concepts and techniques.
  • Proficient in programming languages such as Go, C/C++, Python.
  • Experience with ML frameworks: TensorFlow, PyTorch, MXNet.
  • Commitment to a 12-week full-time internship during Summer 2027.

Responsabilidades

  • Participate in development of a large-scale Ads system.
  • Contribute to relevance model and ranking strategy optimization.
  • Develop Ads algorithms using machine learning.
  • Improve NLP capabilities and query understanding.
  • Collaborate with product teams to define strategy and features.

Conhecimentos

Machine learning concepts
Critical thinking
Team collaboration

Formação académica

Bachelor’s or above in Computer Science or related technical discipline

Ferramentas

Go
C/C++
Python
TensorFlow
PyTorch
MXNet

Descrição da oferta de emprego

TikTok is seeking interns for its Search Ads team to work on large-scale ads systems, NLP, and ranking strategies. You will apply machine learning to improve ad relevance and delivery, while exploring real-world challenges across multiple apps.

We offer hands-on experience, industry exposure, and opportunities to contribute to product strategy while gaining professional growth. Expect a collaborative environment with access to health benefits and housing allowances where applicable.

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