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Software Engineer, Ads Ranking Infra
- USDS
1 month ago• San Jose, CA
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
Responsibilities:
About the team
The ads system at Tik Tok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The USDS Ads Infra team is responsible for building highly efficient, scalable and stable infrastructure to support Ads machine learning, ranking and big data systems.
We are seeking innovative Software Engineers to drive our technology forward. You will spearhead key projects and elevate the team through strong technical leadership.
Responsibilities:
- Lead projects committed to building, optimizing and operating large-scale ranking systems that serve billions of daily ads with low latency and high precision.
- Collaborate with ML engineers to integrate ranking models into production, ensuring seamless inference, freshness, and feedback loops.
- Provide technical leadership and guidance to team members and project peers.
- Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
- Lead the innovation efforts, and bring in new ideas and technologies.
Qualifications
Minimum Qualifications:
- Bachelor's degree or above, major in computer science or related technical disciplines.
- 4+ years of hands-on experience in building large-scale ads serving, recommendation, ranking, or search systems.
- Strong Computer Science fundamentals (coding, algorithms, data structures, software design) and problem-solving skills.
- Ability to think critically and to formulate solutions to problems in a clear and concise way;
- Effective communication skills and a sense of ownership and drive.
- Experience in managing projects.
Preferred Qualifications:
- Experience in Ads domain.
- Experience with building large-scale ranking and machine learning infrastructure.
- Experience of Peta Byte level data processing.
Job InformationFor Pay Transparency Compensation Description (annually)
The base salary range for this position in the selected city is $136800 - $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.
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:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
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Client-provided location(s): San Jose, CA
Job ID: Tik Tok-7580650607931181365
Employment Type: OTHER
Posted: 2025-12-09T20:33:24
Apply 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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TikTok 소개

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
직원 수
Los Angeles
본사 위치
$220B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.8
보상
3.7
문화
4.1
커리어
3.2
경영진
2.9
68%
친구에게 추천
장점
Great team dynamics and support
Innovative and creative culture
Good learning opportunities
단점
Work-life balance challenges
Fast-paced and stressful environment
High expectations and tight deadlines
연봉 정보
49개 데이터
Junior/L3
Junior/L3 · Anti-Fraud Data Analyst
3개 리포트
$143,750
총 연봉
기본급
$125,000
주식
-
보너스
-
$126,500
$163,300
면접 경험
2개 면접
난이도
4.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Behavioral Interview
5
Final Round
6
Offer
자주 나오는 질문
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
뉴스 & 버즈
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3d ago
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Firefighters warn parents about dangerous TikTok trends sending kids to hospitals - WFSB
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