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Algorithm Tech Lead - Global Live - Strategy (Singapore)

TikTok

Algorithm Tech Lead - Global Live - Strategy (Singapore)

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

福利厚生

Flexible Hours

Parental Leave

Equity

Learning

必須スキル

Python

JavaScript

TypeScript

Algorithm Tech Lead

  • Global Live
  • Strategy (Singapore)

3+ months ago• Singapore

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:

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes: 1. Build prediction/uplift NN model to improve LIVE feature intelligence;
2. Mine and interfere potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;
3. Make detailed analysis on user data and system data to find out user experience optimiaztion zoom;
4. Other work like user growth strategy, cold-start strategy, etc.

Job Description:

  1. Participate in the optimization of LIVE monetization business and serve the LIVE experience of billions of global users;
  2. Adopt cutting-edge machine learning model to scientifically model massive user behaviour and consumption data, build high-performance/high-reliability architecture services, and bring users the ultimate experience in LIVE consumption;
  3. Deeply participate in product/business discussions, fully analyze and understand user behaviour patterns, and provide optimization directions for the overall business.

Qualifications

Minimum Qualifications:

  1. Familiar with C/C++/ Python development, familiar with Linux multi-threaded /multi-process;
  2. Familiar with commonly used machine learning and deep learning algorithms, including but not limited to boost machine, dnn, reinforcement learning, etc.;
  3. Solid maths foundation, including probability statistics, numerical optimization, etc., sensitive to data, good at discovering, analyzing and solving problems from data;
  4. Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience;

Preferred Qualifications:

  1. Experience in large-scale recommend system, advertising system, search engine is preferred;
  2. 5 years of experience in game value strategy, e-commerce value strategy, and user psychology research is preferred;

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Client-provided location(s): Singapore

Job ID: Tik Tok-7532726241473431826

Employment Type: OTHER

Posted: 2025-07-31T00:38:34
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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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TikTokについて

TikTok

TikTok

Late Stage

A 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