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Large Model Knowledge System Architecture Engineer, ByteRec

TikTok

Large Model Knowledge System Architecture Engineer, ByteRec

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

401(k) matching

Parental leave

Team events and activities

Equity

Parental Leave

Required Skills

PostgreSQL

Node.js

Python

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Tik Tok

Large Model Knowledge System Architecture Engineer, Byte Rec

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:

About The Team:

The Volcano Engine Vector Database Knowledge Base team supports both internal and ToB customer requirements. We are responsible for the massive content processing of the Volcano Engine large model knowledge base and the effect tuning, evaluation and monitoring, and algorithm architecture optimization of the retrieval system architecture. We also provides technical solutions in framework construction, new feature delivery, and vertical solution construction, including:

Responsibilities:

  1. Optimize the architecture of the knowledge system around the capabilities of large models and knowledge bases, and design and reconstruct the measurement system and industry delivery system for the capabilities of the knowledge system;
  2. Participate in the technical solution design and development of the framework and middleware of the large model RAG architecture to achieve the feature delivery and demand support of the Public Cloud product;
  3. Based on the application scenarios of large models, link up and down the ecosystem, provide a general-purpose domain Knowledge Base solution, encapsulate common patterns and processes, and provide stable external service capabilities;
  4. Explore the design and development of the Multi Modal Machine Learning Knowledge Base;

Qualifications:

Minimum Qualifications:

Bachelor's Degree in Computer Science or related fields:

  1. Solid programming skills, familiar with Python language, good code design style and coding ability, and good ability to solve practical problems;

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By signing up, you agree to our 3. Have a certain understanding of the RAG field, understand the common design paradigms of large model RAG knowledge systems, have a basic understanding of large model application frameworks, and have interest and enthusiasm for the implementation of large model applications;

Preferred Qualification:

  1. Experience in participating and contributing to open source communities

Client-provided location(s): Singapore Job ID: Tik Tok-7512067358409640210Employment Type: OTHERPosted: 2025-06-06T00:35:53Apply 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

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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