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Machine Learning engineer - TikTok Search

TikTok

Machine Learning engineer - TikTok Search

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Healthcare

Unlimited Pto

Learning

Remote Work

Parental Leave

필수 스킬

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.

Apply on company site

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총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

TikTok 소개

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

직원 수

Los Angeles

본사 위치

$220B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

2.8

보상

3.7

문화

4.1

커리어

3.2

경영진

2.9

68%

친구에게 추천

장점

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

단점

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

연봉 정보

49개 데이터

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1개 리포트

$273,000

총 연봉

기본급

$210,000

주식

-

보너스

-

$273,000

$273,000

면접 경험

2개 면접

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

자주 나오는 질문

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit