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Backend Engineer - TikTok Recommendation Architecture

TikTok

Backend Engineer - TikTok Recommendation Architecture

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Comprehensive health, dental, and vision insurance

Parental leave

Competitive salary and equity package

Flexible work arrangements

Team events and activities

Generous paid time off and holidays

Healthcare

Parental Leave

Equity

Flexible Hours

Required Skills

Python

React

PostgreSQL

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our Tik Tok users.

Responsibilities

  • Build and maintain high performance online services for recommendation system
  • Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc
  • Build globalized large-scale recommendation system
  • Design and develop high performance computing frameworks and storage systems
  • Research, design, and develop computer and network software or specialised utility programs
  • Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis
  • Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures
  • Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements

Qualifications

  • Bachelor's degree or above, majoring in Computer Science, or related fields
  • Experience building scalable system
  • Experience programming in at least one of the following programming languages: C, C++, Java or Golang
  • Effective communication skills and a sense of ownership and drive
  • Experience in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus
  • At least 3 years of relevant experience

Why Join Us

Creation is the core of Tik Tok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make Tik Tok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At Tik Tok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Commitment to Diversity and Inclusion

Tik Tok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Tik Tok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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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