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LLM (Large Language Model) Engineer, TikTok Search Intern - 2025 Start

TikTok

LLM (Large Language Model) Engineer, TikTok Search Intern - 2025 Start

TikTok

Singapore

·

On-site

·

Internship

·

1mo ago

Benefits & Perks

Professional development budget

Generous paid time off and holidays

Flexible work arrangements

Comprehensive health, dental, and vision insurance

Learning

Flexible Hours

Healthcare

Required Skills

Python

Node.js

React

About the Team

Our Search Team is responsible for Tik Tok search LLM application algorithms, covering multiple scenarios including AI Search, and Tik Tok AI Bot. We generate search question-answer cards to provide a better search experience and develop Tik Tok's official AI assistant, applying LLM Chat Bot capabilities to help users better utilize Tik Tok. By closely integrating with business scenarios, we connect people, information, and services, driving Tik Tok's business growth.

Application Information

  • Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Tik Tok and its affiliates' jobs globally.
  • Applications will be reviewed on a rolling basis - we encourage you to apply early.
  • Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities

  • Build large-scale high-quality data, train and optimize machine learning models for search, integrate state-of-the-art large language models (LLMs) into traditional video search systems, and reduce costs and latency through self-developed models and inference optimization.
  • Utilize LLMs to understand users' complex queries, support multi-round conversations, conduct semantic analysis on queries and documents, and provide users with accurate and objective search results.
  • Establish an AI search infrastructure, optimize the retrieval and ranking algorithms in Retrieval Augmented Generation (RAG), be responsible for the training and optimization of the large language models used for answer generation, and enhance the richness of search results and structured presentation.
  • Collaborate closely with team members to transform research findings into practical applications and drive the innovation and upgrade of products.

Qualifications

Minimum Qualifications

  • Bachelor degree or above in the field of computer science or a related technical discipline
  • Proficient coding skills and strong algorithm & data structure using C++/Python/Java

Preferred Qualifications

  • Effective communication and teamwork skills
  • Have a solid foundation in algorithms related to LLMs, including but not limited to comprehensive learning and practical experience in areas such as single-modal/multi-modal LLM training, deployment, and knowledge

Additional Information

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

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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

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