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Multimodal Algo Researcher - AI Innovation Center (Singapore)

TikTok

Multimodal Algo Researcher - AI Innovation Center (Singapore)

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health, dental, and vision coverage

Top Tier compensation with equity

Annual team offsites

Learning and development stipend

Wellness benefits

Parental leave program

Required Skills

SQL

TensorFlow

Airflow

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 is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. Tik Tok has global offices including San Jose, 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 imagination 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:

The mission of the Tik Tok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

The main job directions include:

  • Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.

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  • Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving Tik Tok service code performance and privacy compliance.
  • Explore Code Agent capabilities suitable for actual business production environments, and improve Tik Tok R&D efficiency.

Qualifications:

Job Requirements:

  1. PHD or Master with top AI conference papers in ML/CV/NLP are required;
  2. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred
  3. In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI
  4. Excellent ability to analyze and solve problems, and be passionate about solving challenging problems

Preferred Qualifications:

  1. Passion for technology, good communication skills and team spirit

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-7364272465797990665

Employment Type: OTHER

Posted: 2025-01-21T00:51:25
Apply 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.

Apply on company site

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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