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Tik Tok

Machine Learning Engineer, Commerce Ads Ranking

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:

Tik Tok Commerce Ads Ranking team is dedicated to model optimization in the ads delivery system. Our goal is to improve monetization efficiency of Tik Tok Commerce Ads products through model optimization in full funnel. Besides, our team aims to design and implement universal modeling solutions, and solve the long-standing problems of ranking algorithms.

At Tik Tok Commerce Ads Ranking team, you can optimize model in recall / rough sort / fine sort, and explore innovative algorithms to break through the ceiling of ads performance.

Responsibilities:

1. Optimizing model in ads delivery system: feature engineering, model structure, auto crossing, ads cold start, modeling delayed feedback, multi-task learning, sequence modeling
2. Algorithm and system co-design: retrieval algorithm, sample mining, long sequence
3. Exploring large-scale distributed training framework: GPU tuning, feature processing, synchronous training
   Improving ads delivery efficiency in Qualifications

Minimum Qualifications:

1. Have excellent coding skills, be familiar with C++/Python, and have a solid foundation in data structures and algorithms.
2. Solid foundation in machine learning, familiar with common algorithm models such as FM, LR, GBDT, DNN, Wide&Deep, etc.
3. Excellent learning ability and good teamwork spirit. And excellent analytical and problem-solving skills.
   Papers in conferences such as KDD, NeurIPS, SIGIR etc, or experience in data mining/machine learning related competitions are a good fit.
4. Bachelor degree or above in computer science or related majors, work experience in advertising/recommendation/search ranking are preferred.

Preferred Qualifications:

1. Papers in conferences such as KDD, NeurIPS, SIGIR etc, or experience in data mining/machine learning related competitions are a good fit.
2. Bachelor degree or above in computer science or related majors, work experience in advertising/recommendation/search ranking are preferred.

Job Information:

For Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $259200 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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By signing up, you agree to our 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-7519243940139403528Employment Type: OTHERPosted: 2025-06-28T04:28:13Apply 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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