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Senior Software Engineer, Ads Ranking Infra - USDS

TikTok

Senior Software Engineer, Ads Ranking Infra - USDS

TikTok

Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$177,688 - $341,734

Benefits & Perks

Comprehensive health, dental, and vision insurance

Team events and activities

Generous paid time off and holidays

401(k) matching

Healthcare

Required Skills

Node.js

React

TypeScript

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.

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.

Compensation

The base salary range for this position in the selected city is $177,688 - $341,734 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, 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.

Los Angeles County (Unincorporated) Disclosure

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.

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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

Mid/L4

Mid/L4 · 2D 3D Artist

1 reports

$195,000

total / year

Base

$150,000

Stock

-

Bonus

-

$195,000

$195,000

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