Tech Lead Software Engineer, TikTok Risk Governance Foundation at TikTok
San Jose, California, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

438000.0

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Incentives, Data Processing, Distributed Systems, Teams, Life Insurance, C++, Business Integrity, Computer Science, Base Pay, Software Development

Industry

Information Technology/IT

Description

Technology
Tech Lead Software Engineer, TikTok Risk Governance Foundation
Location
:
San Jose
Employment Type
:
Regular
Job Code
:
A212427
Responsibilities
The Risk Governance Foundation team builds the core platform that supports TikTok’s efforts to protect the balance and integrity of its business ecosystem. We focus on enabling trustworthy interactions among advertisers, creators, and the platform by developing scalable, intelligent, and reliable ads delivery systems. Our work powers critical functions in ads integrity and platform risk control, with a strong emphasis on automation, transparency, and explainability. We build foundational engineering platforms and collaborate closely with machine learning teams to deliver AI/ML infrastructure that drives accurate, data-informed decisions across TikTok’s global business surfaces.
We’re looking for experienced tech leads who are excited about solving complex infrastructure problems, scaling machine learning workflows, and contributing to a safer and more trustworthy platform for everyone involved in our global business ecosystem.
Responsibilities

MINIMUM QUALIFICATIONS:

  • BS or MS degree in Computer Science, Engineering, or related technical field
  • 5+ years of experience in software development (backend services) or infrastructure engineering
  • Strong coding skills in one or more languages (e.g., Go, Python, C++, Java)
  • Solid understanding of distributed systems, backend architectures, and data processing frameworks
  • Ability to think critically, solve complex problems, and communicate effectively across teams

PREFERRED QUALIFICATIONS:

  • Experience in risk control, ads integrity, abuse detection, or fraud prevention systems
  • Familiarity with ML workflows, feature engineering, or LLM-powered moderation tools
  • Knowledge of streaming and batch data processing (e.g., Kafka, Flink, Spark)
  • Passion for business integrity under complex recommender system/search/ranking or other relevant monetization scenarios, and building infrastructure that drives real-world impact at scale
    Job Information
    【For Pay Transparency】Compensation Description (Annually)
    The base salary range for this position in the selected city is $208800 - $438000 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).

    The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
Responsibilities

Please refer the Job description for details

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