
Leading short-form video platform
Machine Learning Engineer, Recommendation, E-Commerce Alliance
보상
$129,960 - $246,240
복지 및 혜택
•교육비 지원
•의료보험
필수 스킬
SQL
Apache Spark
Python
Machine Learning Engineer, Recommendation, E-Commerce Alliance
3+ months ago• Seattle, WA
Apply on company site
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
Responsibilities:
The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for Tik Tok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.
Job responsibilities:
- Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency
- Optimize Tik Tok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform
- Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading
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- Support the rapid development of Tik Tok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development
Qualifications:
Minimum Qualifications:
- 3+ years of industry experience with solid theoretical foundation of machine learning;
- Familiar with common algorithms such as matrix factorization, GBDT, LTR, Word2vec, DIN, Deep&Wide;
- Proficient in Python and C++ languages
Preferred Qualifications:
- Proficiency in using any of the following open source tools: XGboost, Tensor Flow, Caffe;
- Have excellent learning ability and good communication and cooperation spirit.
Job InformationFor Pay Transparency Compensation Description (annually)
The base salary range for this position in the selected city is $129960 - $246240 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:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
Client-provided location(s): Seattle, WA
Job ID: Tik Tok-7177066013757638970
Employment Type: OTHER
Posted: 2024-12-06T16:21:39
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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 소개

TikTok
Late StageWhile 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
최근 소식
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