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Software Engineer - Data Speech

TikTok

Software Engineer - Data Speech

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Flexible work arrangements

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Equity

Flexible Hours

Healthcare

Required Skills

Node.js

React

TypeScript

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Tik Tok

Software Engineer

  • Data Speech

1 month ago• Singapore
Viewed on February 1, 2026
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

View Company Profile:

Responsibilities:

About The Team:

The Data Speech Team is committed to the research and development of core AI technologies and product innovation related to speech, audio, and music. The department supports the entire process of audio and multimodal content from production and editing to consumption, empowers content creation and interaction, and provides support for multiple businesses of the group in the form of a middle office, offering cutting-edge technical capabilities and solutions in the industry.

Responsibilities:

  1. Undertake the research and development of service architecture for Byte Dance's speech AI products; quickly build AI speech-related platform applications and backend service pipelines, and continuously optimize service experience and stability.
  2. Implement and apply speech and multimodal dialogue technology frameworks based on large models to practical business scenarios.
  3. Continuously explore the use of AI capabilities to enhance product experience and improve engineering efficiency across various scenarios.
  4. Provide advanced speech capabilities for Byte Dance's related products, empower businesses such as Douyin, Tik Tok, Jian Ying and Cap Cut, as well as AI products like Doubao and Cici, and influence hundreds of millions of users through AI technology.

Qualifications:

Minimum Qualifications:

  1. Bachelor's degree or higher in Computer Science, Electrical Engineering or equivalent practical experience.
  2. Proficient in at least one programming language (Golang/C++/Python/Java).
  3. Experience in large scale databases including both SQL and NoSQL.
  4. Knowledge of Linux/Networks administration and troubleshooting.
  5. Solid knowledge of distributed systems, algorithms, and networks.

Preferred Qualifications:

  1. Track record in ACM/NOI/IOI/Top Coder.
  2. Project experience in AI fields such as Speech, Computer Vision, and NLP.
  3. Development experience in large-scale online businesses with distributed, large-scale, high-concurrency, and high-traffic characteristics; experience in system tuning and performance improvement is a plus.
  4. Experience in microservices architecture development, as well as frontend or full-stack development experience.

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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

Hear directly from employees about what it is like to work at Tik Tok.
0 seconds of 2 minutes, 18 seconds Volume 0%
Press shift question mark to access a list of keyboard shortcuts Keyboard Shortcuts Enabled Disabled Shortcuts Open/Close/ or ?Play/PauseSPACEIncrease Volume↑Decrease Volume↓Seek Forward→Seek Backward←Captions On/Offc Fullscreen/Exit Fullscreenf Mute/Unmutem Decrease Caption Size-Increase Caption Size+ or =Seek %0-9

Next Up Tik Tok Client Provided Video 101:20

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Linkhttps://cdn.jwplayer.com/previews/LVcpvjZACopied

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  • 02:18Working at Tik Tok- Get Ready With Ali01:20Tik Tok Client Provided Video 100:33Client Provided Video 2 - Tik Tok02:07Working at Tik Tok
  • Limitless Possibilities01:41Working at Tik Tok
  • Women's Community01:31Working at Tik Tok
  • Women's Empowerment01:45Working At Tik Tok
  • BLXCK01:27Working at Tik Tok
  • Diversity, Equity and Inclusion with BLXCK
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Total Views

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Apply Clicks

0

Mock Applicants

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Scraps

0

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