ML Engineer – Global Ad Delivery & RL Systems

TikTok

San Jose (CA)

On-site

USD 162,000 - 317,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision insurance
401(k) with company match
Paid parental leave
Disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time

Job summary

TikTok is hiring a PhD-level researcher for its Ads Core ML Team in California. You will help build automatic delivery products and a world-leading ranking framework to optimize advertising across global markets.

You will research ML/DL/RL/LLM, contribute to system design, and collaborate with cross-functional teams to impact multiple markets. Onboarding is required by year-end, with opportunities for growth and impact.

Qualifications

  • PhD in Computer Science, Mathematics, Statistics or related discipline.
  • Strong programming skills in C/C++ and Python; Linux development experience.
  • Solid grounding in statistics and analytical thinking.
  • Strong theoretical grounding in deep learning concepts and techniques.
  • Experience with mainstream ML frameworks (TensorFlow/PyTorch/MXNet).

Responsibilities

  • Assist in advancing automatic delivery products and global ads delivery systems.
  • Research and develop ML/DL, RL, LLM approaches for ads recommendations.
  • Design system frameworks and standards to improve efficiency across verticals.
  • Collaborate with product and business teams across scenarios with global impact.

Skills

C/C++
Python
Data structures & algorithms
Linux development
Statistics
Deep learning
TensorFlow/PyTorch/MXNet

Education

PhD in Computer Science/Mathematics/Statistics

Tools

TensorFlow
PyTorch
MXNet

Job description

TikTok is hiring a PhD-level researcher for its Ads Core ML Team in California. You will help build automatic delivery products and a world-leading ranking framework to optimize advertising across global markets.

You will research ML/DL/RL/LLM, contribute to system design, and collaborate with cross-functional teams to impact multiple markets. Onboarding is required by year-end, with opportunities for growth and impact.

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