19 часов назад
Senior Machine Learning Engineer (Risk & Integrity)
177 688 - 341 734$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Risk & Integrity): Building AI-driven risk and integrity systems for TikTok's U.S. ecosystem with an accent on representation modeling, adversarial defense, and multimodal intelligence. Focus on designing Transformer and GNN models, integrating LLMs and generative AI into large-scale enforcement, and solving robustness, interpretability, and data-drift challenges.
Location: Seattle, United States; fully in-person schedule up to 5 days per week
Salary: $177,688–$341,734 annually, with potential additional discretionary bonuses, incentives, and restricted stock units.
Company
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 high-precision risk representation models using video, live-stream, audio, behavioral-sequence, and social-graph data.
- Research and counter large-scale automated attacks, AIGC-related harmful content, and other adversarial threats.
- Architect self-evolving defense systems that remain robust against changing attack tactics and data drift.
- Integrate generative AI, LLMs, and multimodal technologies into risk detection, adjudication, interpretability, and large-scale enforcement.
Requirements
- Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, or a related field.
- Strong machine learning foundation, including experience applying Transformer and GNN architectures to large-scale integrity problems.
- Experience designing model evaluation systems that balance technical performance with product goals.
- Strong engineering and coding skills in at least one of Python, C++, or Go.
- Familiarity with distributed computing frameworks such as Spark or Flink and deep learning frameworks such as PyTorch.
- Ability to communicate effectively in a global, cross-cultural environment.
Nice to have
- Experience building LLM-based agents with task planning, tool use, or closed-loop autonomous decision-making.
- Experience with LLM post-training or fine-tuning, including SFT, RLVR, or RLHF, for risk-related domains.
- Experience with video understanding or multimodal representation using visual, audio, and textual features.
- Experience in integrity, anti-abuse, safety, or trustworthy AI at a large-scale internet platform.
Culture & Benefits
- Fully in-person work supports rapid decision-making, team development, alignment, and integrated execution.
- Medical, dental, and vision insurance are available from day one.
- Benefits include a 401(k) savings plan with company match, paid parental leave, disability coverage, life insurance, and wellbeing programs.
- Employees receive 10 paid holidays, 10 paid sick days, and 17 days of paid personal time, with accrual increasing by tenure.
- Reasonable accommodations are available during recruitment for protected disabilities, pregnancy, religious beliefs, and other legally protected reasons.
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