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Algorithm Engineer, TikTok E-commerce (Knowledge Graph)

TikTok

Algorithm Engineer, TikTok E-commerce (Knowledge Graph)

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

401(k) matching

Parental leave

Professional development budget

Competitive salary and equity package

Team events and activities

Parental Leave

Learning

Equity

Required Skills

Python

JavaScript

PostgreSQL

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Tik Tok

Algorithm Engineer, Tik Tok E-commerce (Knowledge Graph)

3+ months 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:

Tik Tok will be prioritizing applicants who have a current right to work in Singapore, and do not require Tik Tok's sponsorship of a visa.

Tik Tok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. Tik Tok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

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.
Join us.

About the team
Our team enhances the recognition capabilities for users, products, short videos, and more, in order to recommend more suitable products to users and provide them with an excellent shopping experience.

Responsibilities:

  • Construct user profiling system to accurately depict each user's shopping interests by analyzing their behavioral patterns, preferences, and consumption habits during the shopping process.

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  • Utilise NLP, CV, and multimodal technologies to enhance understanding of short video content and products, supporting search, recommendation, and end-to-end shopping experiences in the marketplace.
  • Explore large-scale and high-quality pretraining datasets in specific verticals of e-commerce, leveraging the power of the Byte Universal Model to develop industry-specific models for e-commerce.
  • Discover new scenarios for interactive shopping experiences in e-commerce through these innovations.

Qualifications:

Minimum Qualifications:

  1. Deep research expertise in NLP, CV, and multimodal fields, including but not limited to machine translation, multilingual NLP, few-shot learning, reinforcement learning, image and video understanding, and multimodal analysis.
  2. Proficient in training and deploying models using Py Torch, Tensor Flow, or other frameworks.
  3. Strong practical skills, with a preference for those who have project experience in video content understanding or multimodal retrieval. Priority will be given to individuals with awards from competitions such as Kaggle, COCO, Activity Net, ICPC, NOI/IOI.

Preferred Qualifications:

  1. Individuals who have published papers in top-tier academic conferences/journals
  2. Minimum 1 year relevant work experience from a large-scale internet business.

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.

Client-provided location(s): Singapore Job ID: Tik Tok-7361475674232768805Employment Type: OTHERPosted: 2025-01-21T00:51:22Apply on company site

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.
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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
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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

Senior/L5

Senior/L5 · Access Assurance Lead

1 reports

$331,500

total / year

Base

$255,000

Stock

-

Bonus

-

$331,500

$331,500

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