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Machine Learning Engineer Intern (TikTok BRIC Account Security) - 2027 Start (PhD)

TikTok

Skills

Required

  • long-chain task orchestration
  • frameworks
  • LLM/Agent frameworks
  • mainstream agent tools
  • planning
  • Loop Engineering
  • Python
  • SQL
  • PyTorch
  • TensorFlow

Preferred

  • Machine Learning
  • risk control
  • Data Science
  • live streaming
  • orchestration

Responsibilities

  • Leverage algorithms and cutting-edge AI technologies/tools to address account security-related risk issues across TikTok and other overseas business lines, including scenarios such as social, live streaming, e-commerce, local services, and payment.
  • Tackle specific account security challenges, including but not limited to: fraudulent bulk registration, account trading, malicious account farming, account theft, and ticket hijacking.
  • Build features and perform representation learning based on multi-source data (e.g., account behavior, ecosystem behavior, device fingerprints, graph relationships, text and image content, etc.) to enhance both real-time and offline perception and detection capabilities; conduct model evaluation and online experimentation, with close attention to stability, drift monitoring, and interpretability.
  • Explore and develop a risk-control Agentic AI architecture, including the design and optimization of Skills, long-chain task orchestration, and multi-agent collaborative problem-solving, to improve the efficiency of risk identification and incident resolution.

Requirements

  • Strong engineering capabilities in LLM/Agent frameworks, with proficiency in mainstream agent tools. In-depth research experience in areas such as planning & reasoning, long-chain task orchestration, memory & knowledge, and Loop Engineering is highly desirable.
  • Solid engineering skills, with proficiency in Python, SQL, and deep learning frameworks such as PyTorch and TensorFlow.

Preferred

  • Majors in Computer Science, Data Science, Machine Learning, or related fields.
  • Strong engineering capabilities in LLM/Agent frameworks, with proficiency in mainstream agent tools. In-depth research experience in areas such as planning & reasoning, long-chain task orchestration, memory & knowledge, and Loop Engineering is highly desirable.
  • Candidates with high-quality publications at top-tier conferences are strongly preferred.
  • Genuine interest in the risk control domain, which features highly adversarial scenarios, and a strong willingness to embrace challenges are preferred.

Benefits

  • We are looking for talented individuals to join us for an internship.
  • PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
  • Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

Hiring process

  • Applications will be reviewed on a rolling basis, so we encourage you to apply early.
  • Please clearly state your availability in your resume (Start date, End date).