ML Engineer (Graduate) - E-Commerce Growth

TikTok

Seattle (WA)

Presencial

USD 146.000 - 243.000

Jornada completa

hace 32 horas
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Health Insurance
401(k) matching
Paid parental leave

Descripción de la vacante

TikTok is seeking a Machine Learning Engineer Graduate to join the E-Commerce User Growth team in Seattle for a 2027 start. You’ll tackle recommender system challenges, personalize marketing, and contribute to growth experiments that drive user engagement and GMV.

The role requires solid software and ML foundations, experience with C++/Python, and exposure to big data and DL tools. A strong teamwork mindset is a must in this fast-paced unit.

Formación

  • Bachelor's degree in Software Development, Computer Science, Computer Engineering or related discipline.
  • Experience in C++ and Python; at least one Big Data tool (Hive SQL/Spark/MapReduce) and one DL tool (TensorFlow/PyTorch).
  • Strong foundation in algorithms and data structures with excellent coding skills.
  • Strong learning ability, curiosity, and good communication/teamwork.

Responsabilidades

  • Participate in optimizing TikTok e-Commerce growth and marketing algorithms (user value modelling, personalized messaging, recommendations).
  • Establish a user lifecycle data and value system for TikTok Mall growth.
  • Contribute to product/technical solutions for growth engines (push notifications, recommendations).
  • Optimize recall/sorting for new user recommendations to improve relevance and diversity.
  • Improve marketing efficiency via uplift models and operations research for GMV growth.

Conocimientos

C++
Python
Big Data tools
Deep learning frameworks

Educación

Bachelor's degree in software/CS/engineering
Master's degree (preferred)

Herramientas

Hive/Spark/MapReduce
TensorFlow/PyTorch

Descripción del empleo

TikTok is seeking a Machine Learning Engineer Graduate to join the E-Commerce User Growth team in Seattle for a 2027 start. You’ll tackle recommender system challenges, personalize marketing, and contribute to growth experiments that drive user engagement and GMV.

The role requires solid software and ML foundations, experience with C++/Python, and exposure to big data and DL tools. A strong teamwork mindset is a must in this fast-paced unit.

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