Responsibilities

The USDS-Platform and Community Integrity (PaCI) team is missioned to:

• Protect U.S. Tik Tok users, including and beyond content consumers, creators, advertisers
• Secure platform health and community experience authenticity
• Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders

The PaCI team works to minimize the damage of inauthentic behaviors on Tik Tok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.

Key Responsibilities:

• Build rules, algorithms and machine learning models, to respond to and mitigate business risks in Tik Tok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
• Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.
• Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.

Qualifications

Minimum Qualifications

• Bachelor's or degrees above in computer science, statistics, math, internet security or other relevant STEM majors (e.g. finance if applying for financial fraud roles)
• Solid data science skills. Proficiency in statistical analytical tools, such as SQL, R and Python.
• Familarity with machine learning or social/content online platform analytics.
• Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

Preferred Qualifications

• Bonus given to proficiency in modern machine learning applications.

Compensation

The base salary range for this position in the selected city is $144,000 - $329,334 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

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

Employees also receive:

• 10 paid holidays per year
• 10 paid sick days per year
• 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.

Additional Information for Los Angeles County (Unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
3. Exercising sound judgment