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채용TikTok

Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

TikTok

Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

TikTok

Sydney, Australia

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Healthcare

Remote Work

필수 스킬

Airflow

PyTorch

TensorFlow

About the Role

Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at Tik Tok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.

We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with Tik Tok.

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.

As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.

Responsibilities

  • Work with our world-class engineers to build industry-leading trust and safety systems for Tik Tok
  • Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
  • Improve our trust and safety strategy and work on model iterations
  • Collaborate with cross-functional teams to protect Tik Tok globally

Qualifications

Minimum Qualifications

  • Currently pursuing your bachelors or completed within 1 year; Computer Science or related engineering field
  • Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
  • Firm understanding of data structures and algorithms
  • Great communication and teamwork skills

Preferred Qualifications

  • Passion about techniques and solving challenging problems
  • Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
  • Currently pursuing your PhD or Master degree in Computer Science or related engineering field

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

연락처 및 위치

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