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Tik Tok

Senior Machine Learning Engineer, Global Payment Decision Science

• USDS

3+ months ago• San Jose, CA
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

• Size: 5001-10000 employees
• Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

Team Intro
The Global Payment team of the U.S. Data Security department of Tik Tok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that users have a smooth and secure payment experience on Tik Tok platform.

The Global Payment Decision Science team is responsible for building data science and machine learning solutions to optimize our payment services leveraging large scale datasets and advanced algorithms. These solutions are key components for various business use cases, such as financial risk, payment compliance, marketing growth, and more.

You will be responsible to design and build advanced data science and algorithm solutions to solve interesting and impactful business problems, such as fraud prevention, AML, user experience customization and optimization, campaign management, etc.

Responsibilities:

• Understand the payment business, translate business problems into data science and algorithm solutions where it fits
• Apply cutting edge machine learning technologies in various payment business use cases
• Own end to end model solution lifecycle and work with stakeholders to deliver business impact
• Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization
• Up-level risk machine learning excellence in Qualifications

Minimum Qualifications:

• Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors
• Proficient in data processing and analytics in big data environment using SQL/Hive/Spark etc
• Mastery of at least one prevalent programming language for data science, such as Python, Java, or Scala

Preferred Qualifications:

• Experienced in Machine Learning and Deep Learning algorithms
• 5+ years of machine learning-related experience, preferably in trust & safety/risk management/compliance
• Working experience in payment and fintech industry
• E-commerce or payment compliance experience

Job Information:

For Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $187040 - $359720 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.

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By signing up, you agree to our 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.

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; and

3. Exercising sound judgment.

Client-provided location(s): San Jose, CAJob ID: Tik Tok-7457310827130554642Employment Type: OTHERPosted: 2025-05-20T00:28:47Apply on company site

Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• HSA
• Life Insurance
• Fitness Subsidies
• Short-Term Disability
• Long-Term Disability
• On-Site Gym
• Mental Health Benefits
• Virtual Fitness Classes

Parental Benefits

• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Snacks
• Pet-friendly Office
• Happy Hours
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Company Equity

Professional Development

• Promote From Within
• Access to Online Courses
• Leadership Training Program
• Associate or Rotational Training Program
• Mentor Program

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.
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Next Up Tik Tok Client Provided Video 101:20

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• 02:18Working at Tik Tok- Get Ready With Ali01:20Tik Tok Client Provided Video 100:33Client Provided Video 2 - Tik Tok02:07Working at Tik Tok
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