ML Engineer — E‑Commerce Governance & Risk AI

TikTok Inc.

San Jose (CA)

On-site

USD 162,000 - 388,000

Full time

14 days+

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Job summary

TikTok Inc. is seeking talented researchers to join the Governance and Experience Algorithm team in San Jose. You will develop AI models to detect risks and violations in e-commerce, optimize content and brand libraries, and contribute to data construction and fine-tuning for large models.

Onboarding is required by year-end, with opportunities for growth. Candidates should have PhD in relevant fields and strong coding in Python/Go/C++. Experience with NLP, CV, and LLM domains is preferred.

Qualifications

  • PhD in Software Development, Computer Science, Computer Engineering, or related field.
  • Strong coding in Linux; proficient in Python, Go, or C++.
  • Solid foundations in data structures/algorithms; ML/DL theory with practical experience.
  • Familiar with NLP, CV, multimodal, graph algorithms, search, text/data mining, and LLMs.

Responsibilities

  • Identify algorithms for risk/violation/low-quality issues in e-commerce scenarios.
  • Mine and identify algorithms to detect fraudulent behaviors and identify risky merchants/creators.
  • Optimize algorithms for large-scale brand libraries, products, and content deduplication/clustering.
  • Data construction, instruction fine-tuning, CoT, alignment for large models in e-commerce domain.
  • Explore reinforcement learning and operations research for intelligent dispatching and audit scheduling.

Skills

Python
Go
C++
Linux
Data structures/algorithms
Machine learning
NLP
LLM

Education

PhD in Software Development or Computer Science
PhD in Computer Engineering

Job description

TikTok Inc. is seeking talented researchers to join the Governance and Experience Algorithm team in San Jose. You will develop AI models to detect risks and violations in e-commerce, optimize content and brand libraries, and contribute to data construction and fine-tuning for large models.

Onboarding is required by year-end, with opportunities for growth. Candidates should have PhD in relevant fields and strong coding in Python/Go/C++. Experience with NLP, CV, and LLM domains is preferred.

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