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1 день назад

Machine Learning Engineer Graduate (Risk & Integrity) - 2027 Start

100 320 - 177 840$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Engineer Graduate (Risk & Integrity) - 2027 Start (Machine Learning, AI/LLM): Building large-scale risk representation models and algorithmic defenses for TikTok's U.S. ecosystem with an accent on Transformer and GNN architectures, multimodal data, and adversarial threat detection. Focus on integrating generative AI and LLMs into risk adjudication, developing self-evolving defenses against automated attacks and harmful AIGC, and balancing model precision with large-scale enforcement.

Location: Seattle, United States; fully in-person up to 5 days per week

Salary: $100,320–$177,840 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates data privacy, cybersecurity, trust, and safety programs for TikTok and related platforms in the United States.

What you will do

  • Design algorithmic architecture and governance for account integrity, incentive abuse, content safety, and financial risk.
  • Build risk representation models using video, livestream, audio, behavioral sequence, and social graph data.
  • Research and counter large-scale automated attacks, harmful AIGC, data drift, and rapidly changing adversarial tactics.
  • Develop self-evolving defense systems for a large-scale internet ecosystem.
  • Integrate generative AI, LLMs, and multimodal technologies into risk detection, adjudication, interpretability, and enforcement.

Requirements

  • Completing or recently completed a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Strong foundation in machine learning, including practical use of Transformer and GNN architectures.
  • Proficiency in at least one of Python, C++, or Go.
  • Familiarity with distributed computing such as Spark or Flink and deep learning frameworks such as PyTorch.
  • Ability to design model evaluation systems balancing technical performance with product goals and communicate effectively in a global, cross-cultural environment.
  • Available to onboard by the end of 2027 and able to work in person in Seattle.

Nice to have

  • Experience building LLM-based agents with task planning, tool use, or autonomous decision-making.
  • Experience with LLM post-training or fine-tuning, including SFT, RLVR, or RLHF.
  • Video understanding or multimodal representation experience combining visual, audio, and textual features.
  • Experience in integrity, anti-abuse, safety, or trustworthy AI at a large-scale internet platform.

Culture & Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match, life insurance, disability coverage, and wellbeing benefits.
  • Paid parental leave, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
  • Inclusive workplace with reasonable accommodations available during recruitment.
  • Rolling application review; candidates may apply to a maximum of two company or affiliate positions.

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