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23 часа назад

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

136 800 - 259 200$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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 (PhD) (Transformers/GNN/LLM): Building large-scale machine learning systems that detect and mitigate account abuse, harmful content, financial risk, and adversarial threats across TikTok's ecosystem with an accent on heterogeneous data modeling, multimodal AI, and risk infrastructure. Focus on designing robust representation models, self-evolving defenses, and LLM-powered decision systems that balance precision, interpretability, and automated enforcement.

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

Salary: $136,800–$259,200 annually, with potential additional bonuses, incentives, and restricted stock units.

Company

hirify.global operates a data privacy and cybersecurity program focused on protecting U.S. user data, applications, algorithms, and the content ecosystem.

What you will do

  • Design algorithmic governance and integrity solutions for account integrity, incentive abuse, content safety, and financial risk.
  • Build high-precision risk representation models using video, livestream, audio, behavioral sequence, and social graph data.
  • Research adversarial threats, including automated attacks and harmful AIGC, and develop self-evolving defense systems.
  • Integrate generative AI, LLMs, and multimodal technologies into risk detection, adjudication, and enforcement workflows.
  • Develop scalable machine learning infrastructure for TikTok and related platforms.

Requirements

  • Completing or recently completed a PhD in computer science, engineering, mathematics, statistics, or a related discipline.
  • Strong foundation in machine learning, including 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 evaluate models against both technical performance and product goals and communicate effectively in a global, cross-cultural environment.
  • Ability to commit to an onboarding date by the end of 2027; graduation date and availability must be stated on the resume.

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.
  • Experience in video understanding, multimodal representation, or 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 the first day.
  • 401(k) savings plan with company match, paid parental leave, disability coverage, life insurance, and wellbeing benefits.
  • 10 paid holidays, 10 paid sick days, and 17 days of paid personal time, with increasing accruals by tenure.
  • Inclusive workplace with reasonable accommodations available during recruitment.
  • In-person collaboration focused on speed, alignment, team development, and integrated execution.

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