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Jobs · Engineering · Washington

Senior Machine Learning Engineer, TikTok Risk & Integrity - USDS

TikTok USDS Joint Venture · Seattle, WA · 3 days ago
On-siteEngineering$178k–$342k/yrFull-time

About the role

TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.

Responsibilities

  • Global Ecosystem Governance: Lead the algorithmic architecture and governance for TikTok US across key domains, including account integrity, incentive abuse, content safety, and financial risk, ensuring a fair and secure ecosystem for a billion-user community.
  • Universal Representation Modeling: Build high-precision, risk representation models leveraging massive heterogeneous data (video, live streams, audio, behavior sequences, and social graphs) to enable cross-scenario risk perception.
  • Dynamic Adversarial Defense: Research and counter global adversarial threats (e.g., large-scale automated attacks, AIGC harmful content). Architect self-evolving defense systems that maintain robustness and resilience against rapid tactic shifts and data drift.
  • Intelligent Decision-making: Drive the integration of Generative AI and Multimodal technologies into the risk lifecycle. Leverage LLMs and deep learning models to solve complex adjudication and interpretability challenges, balancing precision with automated, large-scale enforcement.

Qualifications

  • Bachelor's degree or higher in Computer Science, Mathematics, Statistics, or a related field.
  • Solid foundation in Machine Learning; proficient in applying Transformer and GNN architectures to solve large-scale integrity challenges with social graph and behavior sequence data.
  • Experience designing model evaluation systems that balance technical performance with product goals.
  • Strong engineering and coding skills. Proficient in at least one language among Python, C++, or Go; familiar with distributed computing (e.g., Spark, Flink) and deep learning frameworks (e.g., PyTorch).
  • A passion for building world-class risk infrastructure and the ability to communicate effectively in a global, cross-cultural environment.

Preferred Qualifications

  • Agentic AI Experience: Hands-on experience building LLM-based Agents capable of task planning, tool-use, or closed-loop autonomous decision-making.
  • LLM Security & Alignment: Experience in LLM Post-training or Fine-tuning (e.g., SFT, RLVR, RLHF) to optimize models for specific risk domains like fraud intent recognition or malicious redirection.
  • Multimodal Expertise: Proven track record in video understanding or multimodal representation; ability to integrate visual, audio, and textual features to solve complex behavioral modeling challenges.
  • Industry Vision: Experience in Integrity, Anti-Abuse, Safety, or Trustworthy AI at a large-scale internet platform.

Benefits

  • Medical, dental, and vision insurance.
  • 401(k) savings plan with company match.
  • Paid parental leave.
  • Short-term and long-term disability coverage.
  • Life insurance.
  • Wellbeing benefits.

Job Information

  • Compensation Description (Annually): The base salary range for this position in the selected city is $177688 - $341734 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location.
  • Additional Discretionary Bonuses/Incentives: This role may be eligible for additional discretionary bonuses/incentives.
  • Restricted Stock Units: Benefits may vary depending on the nature of employment and the country work location.

Reasonable Accommodation

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA.

Pay Transparency

[For Pay Transparency] Compensation Description (Annually): The base salary range for this position in the selected city is $177688 - $341734 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

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