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Software Engineer Graduate (Ads ML Infrastructure) - 2026 Start (BS/MS)
San Jose, CA
·
On-site
·
Full-time
·
2mo ago
報酬
$118,657 - $187,200
福利厚生
•Equity
•Healthcare
•Parental Leave
•Unlimited Pto
必須スキル
Python
TensorFlow
PyTorch
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 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 privacy enforcement, including feature engineering, feature store, training data generation, etc.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with Tik Tok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resumes.
Applications will be reviewed on a rolling basis. We encourage you to apply early.
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.
- 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.
Compensation and Benefits
Base Salary
The base salary range for this position in the selected city is $118657 - $187200 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) 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.
総閲覧数
2
応募クリック数
0
模擬応募者数
0
スクラップ
0
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TikTokについて

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
従業員数
Los Angeles
本社所在地
$220B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
4.1
キャリア
3.2
経営陣
2.9
68%
友人に勧める
良い点
Great team dynamics and support
Innovative and creative culture
Good learning opportunities
改善点
Work-life balance challenges
Fast-paced and stressful environment
High expectations and tight deadlines
給与レンジ
49件のデータ
Junior/L3
Junior/L3 · Anti-Fraud Data Analyst
3件のレポート
$143,750
年収総額
基本給
$125,000
ストック
-
ボーナス
-
$126,500
$163,300
面接体験
2件の面接
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Behavioral Interview
5
Final Round
6
Offer
よくある質問
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
ニュース&話題
Hollywood wants to be TikTok. TikTok wants to be TV - Axios
Axios
News
·
3d ago
Hundreds of Fake Pro-Trump Avatars Emerge on Social Media - The New York Times
The New York Times
News
·
3d ago
Firefighters warn parents about dangerous TikTok trends sending kids to hospitals - WFSB
WFSB
News
·
4d ago
QVC prepares for bankruptcy protection in the era of influencers, TikTok and Temu - Chicago Tribune
Chicago Tribune
News
·
4d ago