トレンド企業

TikTok
TikTok

Leading short-form video platform

Machine Learning Engineer, Risk Control - USDS

職種機械学習
経験ミドル級
勤務地San Jose, Canada, United States
勤務オンサイト
雇用正社員
掲載3ヶ月前

報酬

$136,800 - $359,720

応募する

福利厚生

健康保険

ストックオプション

Remote Work

無制限休暇

育児休暇

必須スキル

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について

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+

従業員数

Los Angeles

本社所在地

$220B

企業価値

レビュー

10件のレビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

4.0

企業文化

4.2

キャリア

3.5

経営陣

2.5

72%

知人への推奨率

良い点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

改善点

Poor work-life balance and long hours

High stress and overwhelming workload

Management and leadership issues

給与レンジ

58件のデータ

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · ANTI-FRAUD DATA ANALYST - USDS

1件のレポート

$143,750

年収総額

基本給

$125,000

ストック

-

ボーナス

-

$143,750

$143,750

面接レビュー

レビュー2件

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

よくある質問

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit