Multimodal ML Engineer for Ads Content Understanding

TikTok

San Jose (CA)

On-site

USD 162,000 - 388,000

Full time

33 hours ago
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Benefits offered by this job

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

Job summary

TikTok is hiring for a seasoned ML engineer to advance large-scale advertising systems and multimodal content understanding. You will own critical targeting components within the ads monetization pipeline and work closely with product and business teams to align on vision and strategy.

You will apply deep learning techniques using PyTorch or TensorFlow, and collaborate with global teams to drive high-performance, scalable solutions in a fast-paced environment.

Qualifications

  • Experience in and strong grounding in machine learning concepts and techniques.
  • Proven experience in multimodal content understanding, with expertise in large language models (LLMs).
  • Strong foundation in at least one major deep learning framework (PyTorch or TensorFlow).
  • Proactive mindset, ownership, excellent communication, and cross-team collaboration.

Responsibilities

  • Participate in development of a large-scale Ads system.
  • Develop state-of-the-art applied machine learning projects.
  • Own key targeting components in TikTok ads monetization ecosystem.
  • Collaborate with product and business teams on product vision.

Skills

ML concepts
Multimodal understanding
LLMs familiarity
Ownership & collaboration

Tools

PyTorch
TensorFlow

Job description

TikTok is hiring for a seasoned ML engineer to advance large-scale advertising systems and multimodal content understanding. You will own critical targeting components within the ads monetization pipeline and work closely with product and business teams to align on vision and strategy.

You will apply deep learning techniques using PyTorch or TensorFlow, and collaborate with global teams to drive high-performance, scalable solutions in a fast-paced environment.

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