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TikTok
TikTok

Leading short-form video platform

Machine Learning Engineer, Risk Control - USDS

직무머신러닝
경력미들급
위치San Jose, Canada, United States
근무오피스 출근
고용정규직
게시3개월 전

보상

$136,800 - $359,720

지원하기

복지 및 혜택

의료보험

스톡옵션

원격 근무

무제한 휴가

육아휴직

필수 스킬

PyTorch

Python

Apache Spark

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 Intro:

  • The Risk Control team works to minimize the damage of inauthentic behaviors on Tik Tok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles
  • You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.

Responsibilities:

  • Build machine learning solutions to respond to and mitigate business risks in products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
  • Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.

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  • Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.Qualifications

  • Minimum Qualifications

  • Master's or higher degree in Computer Science, Statistics, or other relevant, machine-learning-heavy majors

  • Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm

  • Strong machine learning background

Preferred Qualifications:

  • Publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning
  • Ability to think critically, objectively, rationally, reason and communicate in result-oriented, data-driven manner, and have high autonomy

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $359720 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-7529660757525793032

Employment Type: OTHER

Posted: 2025-07-24T00:27:55
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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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