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Senior Software Engineer, Ads ML Infrastructure - USDS

TikTok

Senior Software Engineer, Ads ML Infrastructure - USDS

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$136,800 - $359,720

Benefits & Perks

Parental leave program

Learning and development stipend

Health, dental, and vision coverage

Wellness benefits

Required Skills

Airflow

Apache Spark

SQL

Senior Software Engineer, Ads ML Infrastructure

  • USDS

3+ months 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 USDS 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 Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and We are looking for an innovative Software Engineer to join the team. You will provide technical leadership to key projects and empower the team.

Responsibilities:

  • Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
  • 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 in computer science or related technical disciplines.
  • 3+ years of hands-on experience with building and training complex and scalable machine learning systems.
  • Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
  • Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning.
  • Experience in managing projects.

Preferred Qualifications:

  • Experience in Ads domain.
  • Experience with building large-scale ranking infrastructure.

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $359720 annually.

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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:

  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, CA

Job ID: Tik Tok-7548635843193145618

Employment Type: OTHER

Posted: 2025-09-12T20:23:45
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

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures