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职位TikTok

Machine Learning Research Scientist - Business Integrity

TikTok

Machine Learning Research Scientist - Business Integrity

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

福利待遇

Equity

Healthcare

Remote Work

Learning

必备技能

Python

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

Team Introduction
Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of Tik Tok in the world, we are working on building a next-generation content understanding system for Tik Tok monetization. We are seeking machine learning engineers at all levels experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value.

Email Address

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  • Conduct cutting-edge research in machine learning, computer vision or natural language processing.
  • Support and incubate products with machine learning, especially state-of-the-art AIGC techniques such as GPT, Stable Diffusion, etc.

Qualifications:

  • Minimum Qualification(s)
  • Ph.D. degree in Computer Science, Computer Engineering or other relevant majors.
  • Rich research experience in but not limited to the following areas (as the first author of published papers at CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.)
  • Image/video search, classification, and recognition
  • Object detection, segmentation, and tracking
  • Representation learning (multi-modality, pre-training, vision transformer, etc.)
  • OCR and large language models (LLM)
  • Image/video/multimodal generative models

Client-provided location(s): Singapore

Job ID: Tik Tok-7099375560635468063

Employment Type: OTHER

Posted: 2025-01-21T00:52:19
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

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关于TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

员工数

Los Angeles

总部位置

$220B

企业估值

评价

3.8

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

4.1

职业发展

3.2

管理层

2.9

68%

推荐给朋友

优点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

缺点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

薪资范围

49个数据点

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1份报告

$273,000

年薪总额

基本工资

$210,000

股票

-

奖金

-

$273,000

$273,000

面试经验

2次面试

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

常见问题

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit