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トレンド企業

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求人TikTok

LLM Research & Enforcement Leader (Policy Development) - TikTok LIVE

TikTok

LLM Research & Enforcement Leader (Policy Development) - TikTok LIVE

TikTok

San Jose, CA

·

On-site

·

Full-time

·

2mo ago

報酬

$166,400 - $313,600

福利厚生

Healthcare

Learning

Parental Leave

Equity

必須スキル

PostgreSQL

Python

JavaScript

About the Team

The Livestream Team designs and implements policies for live streaming to ensure a high-quality, diverse, and engaging content experience. We are responsible for building a secure and thriving real-time interaction space that benefits both users and creators. Our work involves establishing clear guidelines to minimize problematic content, identify emerging risks, and defend against bad-faith actors, all while maintaining transparency and defensibility in our policy decisions.

Responsibilities

  • Understanding of business models and risks: Understand the LIVE business model, evaluate existing and emerging risks generally on content safety and specifically to LIVE monetization and traffic ecosystem. Conduct regular reviews of existing policies to identify and address gaps and ambiguities.
  • Research expert: Pioneer and research on leading LLM ideals and practices in the industry and academic field. Leverage resources to help internal teams better understand major industry solutions. Identify the most feasible solutions for Tik Tok LIVE, and build up a defencible approach for internal and external communication.
  • AI driven governance: Have a strong mindset of AI-based moderation and human-based moderation. Drive Tik Tok LIVE monetization and ecosystem governance objectives leveraging both AI and human and collaborate efforts with algo, product and moderation efforts accordingly.
  • Safety prioritization: Lead LIVE safety efforts in the fast changing business, and identify strategic policy priorities amidst a rapidly changing technological and societal landscape. Create clear policy principles and frameworks that consider a variety of internal and external inputs.
  • XFN Collaboration: Work with cross-functional teams such as Communications, Public Policy, Legal, Product, Algo and Trust & Safety teams to clearly communicate product design decisions and product policies. Educate and align internal and stakeholders around our policies.

Qualifications

Minimum Qualifications

  • Bachelor's degree in Law, Public Policy, Business Administration, Liberal Arts or a related field. Advanced degree preferred.
  • More than 5 years of experience in LLM, safety, policy development, strategy, product policy roles or a related role in the tech/media space.
  • Strong understanding of LLM, legal, regulatory, and ethical issues related to online monetization, strong knowledge of the content, AI, digital media, and technology industry.
  • Exceptional analytical, good communication skills, able to draft policy in clear, actionable terms.
  • Adaptability to fast pace changes and possessing the ability to make sound judgement in complex situations, embrace challenges and achieve results
  • Excellent interpersonal and communication skills, to drive cross functional collaborations and high trust in culturally diverse environments to achieve shared results

Preferred Qualifications

  • Experience working with global stakeholders, including external partners
  • Ability to think creatively and develop new ideas to address challenges related to monetization governance.
  • Deep passion for Tik Tok, live streaming, mobile entertainment, social media, and popular culture.

Compensation

The base salary range for this position in the selected city is $166,400 - $313,600 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

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
  • 401(k) savings plan with company match
  • Paid parental leave
  • Short-term and long-term disability coverage
  • Life insurance
  • Wellbeing benefits
  • 10 paid holidays per year
  • 10 paid sick days per year
  • 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.

Additional Information for Los Angeles County 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.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

TikTokについて

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

従業員数

Los Angeles

本社所在地

$220B

企業価値

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

3.7

企業文化

4.1

キャリア

3.2

経営陣

2.9

68%

友人に勧める

良い点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

改善点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

給与レンジ

49件のデータ

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3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

-

$126,500

$163,300

面接体験

2件の面接

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