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Machine Learning engineer - TikTok Search

TikTok

Machine Learning engineer - TikTok Search

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health, dental, and vision coverage

Flexible PTO policy

Learning and development stipend

Annual team offsites

Remote work flexibility

Parental leave program

Required Skills

SQL

PyTorch

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

Our team is responsible for providing Tik Tok search users with first-class search experience by building a strong and robust infrastructure and platform to support product fast iteration and key feature development. In our team, you'll have the opportunity to take part in developing the key features on Tik Tok Search, understand how Tik Tok Search could be evolved to be a multi-billion-user product and first-handed experience how user request varies on this giant from time to time. We encourage a culture of self-driven, intellectual curiosity, openness and problem-solving.

Responsibilities:

  • Optimize the search quality in poi and local service, provide Tik Tok's users the best search experience
  • Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search result metrics
  • Work with products and DAs, and other engineers to deliver features to drive the experience optimization 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 basis in C++/Python/Java
-Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning
-Effective communication and teamwork skills.

  • Preferred Qualifications
  • Passion for technology, good communication skills and team spirit

Email Address

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Client-provided location(s): Singapore

Job ID: Tik Tok-7390275815793936691

Employment Type: OTHER

Posted: 2025-01-21T03:51:23
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.

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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

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

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