ML Engineer: Large-Scale Recommendation Systems (Onsite)

TikTok USDS Joint Venture

San Jose (CA)

Presencial

USD 123 000 - 259 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

Medical Insurance
Dental Insurance
Vision Insurance
401(k) with company match
Paid parental leave
Disability insurance
Wellbeing benefits
Paid holidays
Paid sick days
Paid Personal Time

Resumo da oferta

TikTok USDS Joint Venture is seeking a highly skilled ML engineer to help advance our feed and e-commerce recommendations. You will work on large-scale systems, build user-interest models, and develop predictive models for ranking alongside real-time data pipelines.

The role emphasizes hands-on ML work, feature engineering, and tool development in a fast-paced, in-person team at a fully in-person schedule up to 5 days a week. A strong background in CS and ML is required.

Qualificações

  • Bachelor's degree or higher in Computer Science or related fields.
  • Strong programming and problem-solving ability.
  • Graduates in applied ML welcome, familiar with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide & Deep, etc.
  • Experience with Deep Learning Tools such as TensorFlow/PyTorch.
  • Experience with at least one programming language like C++/Python or equivalent.

Responsabilidades

  • Participate in building large-scale recommendation algorithms and systems (10M–100M data scale) across TikTok categories.
  • Build long and short-term user interest models and extract information from large data to explore latent interests.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking (e.g., CTR/CR), including real-time data pipelines and feature engineering.
  • Design and build supporting/debugging tools as needed.

Conhecimentos

ML fundamentals
Problem solving

Formação académica

Bachelor's degree or higher in CS or related field

Ferramentas

TensorFlow
PyTorch
C++
Python

Descrição da oferta de emprego

TikTok USDS Joint Venture is seeking a highly skilled ML engineer to help advance our feed and e-commerce recommendations. You will work on large-scale systems, build user-interest models, and develop predictive models for ranking alongside real-time data pipelines.

The role emphasizes hands-on ML work, feature engineering, and tool development in a fast-paced, in-person team at a fully in-person schedule up to 5 days a week. A strong background in CS and ML is required.

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