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TikTok
TikTok

Leading short-form video platform

Software Engineer in Machine Learning Infra - TikTok Recommendation Architecture

직무머신러닝
경력Staff+
위치Singapore
근무오피스 출근
고용정규직
게시3개월 전
지원하기

복지 및 혜택

육아휴직

스톡옵션

교육비 지원

원격 근무

필수 스킬

SQL

Airflow

Python

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 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 imaginations 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:

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our Tik Tok users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

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Responsibilities- Serving and training infra optimization of machine learning models- Build and maintain high performance online services for Tik Tok recommendation system- Build globalized large-scale recommendation system- Research, design, and develop computer and network software or specialised utility programs- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements Qualifications

  • Bachelor's degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable systems.
  • Experience at least one or two programming languages in Linux environment such as C/C++/golang;
  • Understand GPU hardware architecture, understand GPU software stack (CUDA, cuDNN), and have experience in GPU performance analysis;
  • Have experience in deep model inference/training, debugging, tuning, and familiar with model optimization tools such as TVM, MLIR, XLA;
  • Familiar with mainstream machine learning frameworks (e.g., Tensorflow, Pytorch, Mx Net);

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-7229162198592014647

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.

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TikTok 소개

TikTok

TikTok

Late Stage

While TikTok remains accessible to civilians in most countries and regions, a minority — including India, Iran, China, and Afghanistan — have imposed nationwide bans. In the United States, legislation providing for a full ban was enacted but not implemented because of a restructure of U.S.

10,001+

직원 수

Los Angeles

본사 위치

$220B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

2.8

보상

4.0

문화

4.2

커리어

3.5

경영진

2.5

72%

지인 추천률

장점

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

단점

Poor work-life balance and long hours

High stress and overwhelming workload

Management and leadership issues

연봉 정보

58개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · ANTI-FRAUD DATA ANALYST - USDS

1개 리포트

$143,750

총 연봉

기본급

$125,000

주식

-

보너스

-

$143,750

$143,750

면접 후기

후기 2개

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