For EmployersCoach ConnectReviewsAbout FairygodbossCareers @ FairygodbossPrivacy PolicyTerms & Conditions
Fairygodboss
CommunityJobsAdviceEventsReviewsFor EmployersCoach Connect
Sign inGet StartedGet started
CommunityJobsAdviceEvents
TikTok

Algorithm Engineer - TikTok e-Commerce

May 29, 2023• Singapore

About us

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

★ 4.5 out of 5 · 6 reviews

  • Size: 10,000+ employees
  • Industry: Technology: Consumer Internet
View company profile ›

Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

About the team
Our team is responsible for developing large scale product knowledge graphs to improve online shopping experience. We are currently looking for talented software engineers that have a deep understanding of Natural Language Processing (NLP), Computer Vision (CV), Deep Learning (DL) and Machine Learning (ML).

Responsibilities
You will be developing state-of-the-art models to solve challenging problems that impact both the platform and millions of customers, including:
- Responsible for building and continuously optimizing algorithm solutions in product matching, price comparison etc. to improve supply operational efficiencies;
- Responsible for continuously maintaining and improving the robustness, stability and computational efficiencies of algorithm solutions in live business environment.

Qualifications

Minimum Qualifications
- Bachelor and above with major in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines.
- Hands-on experience and strong skills in at least one of the technological areas:
- Natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining and classification etc.
- Computer vision, facial recognition, multimodal learning, object detection & tracking, image classification etc.
- Machine learning, transfer learning, graph embedding, representative learning, large-scale optimization, recommendation, reinforcement learning, etc.
- Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiaer with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
- Strong analytical and problem-solving skills.

Preferred Qualification
- Work experience in e-commerce or Internet industry is preferred.

Responsibilities

Responsibilities

About the team
Our team is responsible for developing large scale product knowledge graphs to improve online shopping experience. We are currently looking for talented software engineers that have a deep understanding of Natural Language Processing (NLP), Computer Vision (CV), Deep Learning (DL) and Machine Learning (ML).

Responsibilities
You will be developing state-of-the-art models to solve challenging problems that impact both the platform and millions of customers, including:
- Responsible for building and continuously optimizing algorithm solutions in product matching, price comparison etc. to improve supply operational efficiencies;
- Responsible for continuously maintaining and improving the robustness, stability and computational efficiencies of algorithm solutions in live business environment.

Qualifications

Qualifications

Minimum Qualifications
- Bachelor and above with major in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines.
- Hands-on experience and strong skills in at least one of the technological areas:
- Natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining and classification etc.
- Computer vision, facial recognition, multimodal learning, object detection & tracking, image classification etc.
- Machine learning, transfer learning, graph embedding, representative learning, large-scale optimization, recommendation, reinforcement learning, etc.
- Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiaer with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
- Strong analytical and problem-solving skills.

Preferred Qualification
- Work experience in e-commerce or Internet industry is preferred.

Want more jobs like this?

Get jobs in Singapore delivered to your inbox when you sign up.

Additional Information

  • Posted: May 29, 2023
Apply on company site
Apply on company site

Similar Jobs

  • Algorithm Engineer - TikTok E-Commerce (Conversational AI)TikTok
  • Senior Algorithm Engineer, TikTok E-Commerce (Conversational AI)TikTokSeattle
  • Algorithm Engineer, TikTok E-Commerce (Conversational AI)TikTokSeattle
  • Algorithm Engineer (Platform Governance) - TikTok e-CommerceTikTok
  • Software Engineer Intern (TikTok Global E-Commerce Recommendation & Search Architecture) - 2027 StartTikTok
  • Big Data Engineer Intern (TikTok Global E-Commerce Recommendation & Search Architecture) - 2027 StartTikTok

Suggested Searches

  • TikTok Jobs
  • All Jobs

Search Additional Jobs

  • Remote-Friendly Algorithm Engineer - TikTok e-Commerce Jobs
Fairygodboss

Fairygodboss

  • Community Guidelines
  • Submissions & Editorial Guidelines
  • Privacy Policy
  • Terms & Conditions
  • The Muse

Advice

  • Community
  • Articles
  • Podcasts
  • Research
  • Pregnancy Week by Week
  • Browse Discussions

Jobs

  • Browse All Jobs
  • Remote Jobs
  • Company Reviews
  • Best Companies for Women

Events

  • Events Calendar
  • Virtual Career Fairs

Employers

  • Partner with Us

© 2026 FGB Muse Group Inc.

© 2026 FGB Muse Group Inc. All rights reserved.

  • About
    • About Us
    • Community Partners
  • Careers
  • FAQs
    • Community Guidelines
    • Submissions & Editorial Guidelines
  • Privacy Policy
  • Terms & Conditions