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トレンド企業

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求人TikTok

Algorithm Engineer, E-commerce Knowledge Graph - USDS

TikTok

Algorithm Engineer, E-commerce Knowledge Graph - USDS

TikTok

San Jose, CA

·

On-site

·

Full-time

·

2mo ago

報酬

$136,800 - $359,720

福利厚生

Equity

Flexible Hours

Parental Leave

Healthcare

必須スキル

PostgreSQL

JavaScript

React

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

About the team
Our team enhances the recognition capabilities for users, products, short videos, and more, in order to recommend more suitable products to users and provide them with an excellent shopping experience.

Responsibilities:

  • Construct user profiling system to accurately depict each user's shopping interests by analyzing their behavioral patterns, preferences, and consumption habits during the shopping process.
  • Utilise NLP, CV, and multimodal technologies to enhance understanding of short video content and products, supporting search, recommendation, and end-to-end shopping experiences in the marketplace.
  • Explore large-scale and high-quality pretraining datasets in specific verticals of e-commerce, leveraging the power of the Byte Universal Model to develop industry-specific models for e-commerce.
  • Discover new scenarios for interactive shopping experiences in e-commerce through these innovations.

Qualifications

Minimum Qualifications:

  • Deep research expertise in NLP, CV, and multimodal fields, including but not limited to machine translation, multilingual NLP, few-shot learning, reinforcement learning, image and video understanding, and multimodal analysis.
  • Proficient in training and deploying models using Py Torch, Tensor Flow, or other frameworks.
  • Strong practical skills, with a preference for those who have project experience in video content understanding or multimodal retrieval. Priority will be given to individuals with awards from competitions such as Kaggle, COCO, Activity Net, ICPC, NOI/IOI.

Preferred Qualifications:

  • Individuals who have published papers in top-tier academic conferences/journals
  • Minimum 1 year relevant work experience from a large-scale internet business.

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:

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  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; and3. Exercising sound judgment.

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

Job ID: Tik Tok-7547911189717584135

Employment Type: OTHER

Posted: 2025-09-10T20:23:14
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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

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

Mid/L4

Mid/L4 · 2D 3D Artist

1件のレポート

$195,000

年収総額

基本給

$150,000

ストック

-

ボーナス

-

$195,000

$195,000

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