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职位TikTok

Director of Machine Learning - TikTok Trust & Safety

TikTok

Director of Machine Learning - TikTok Trust & Safety

TikTok

San Jose, CA

·

On-site

·

Full-time

·

2mo ago

薪酬

$257,400 - $768,000

福利待遇

Equity

Healthcare

Unlimited Pto

Learning

Remote Work

必备技能

Python

Apache Spark

PyTorch

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 Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With our team's continuous efforts, Tik Tok can provide the best user experience and bring joy to everyone in the world.

Responsibilities:

  • What You'II Do
  • Play a leading role in reshaping moderation solutions for Trust & Safety business verticals
  • Work on highly-scalable classifiers, predictive models and algorithms with cutting-edge technologies
  • Work with engineering teams to implement model pipelines and deploy the service at scale
  • Collaborate with product teams to define objectives and improve trust and safety strategy

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  • Collaborate with data analysts to understand and find data patterns Qualifications

  • Minimum Qualifications

  • At Least 5 years hands-on experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, Audio,

  • At least 3 years of people management experience

  • Proficient in deep learning frameworks such as Py Torch and Tensor Flow, and programming languages such as python or java.

  • Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms

  • Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems

Preferred Qualification:

  • Experience in trust and safety areas is a plus
  • Skilled in LLM, Multimodal LLM and downstream applications are preferred
  • Content understanding or participating in large-scale online machine learning platforms are preferred

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $257400 - $768000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

  2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

  3. Exercising sound judgment.

Client-provided location(s): San Jose, CA

Job ID: Tik Tok-7498430928004925703

Employment Type: OTHER

Posted: 2026-01-30T19:52:24
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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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