refresh

트렌딩 기업

트렌딩

채용

JobsTikTok

Model Data Product Operations Specialist

TikTok

Model Data Product Operations Specialist

TikTok

Jakarta, Indonesia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and bonus

Health benefits

401(k) matching

Development budget

Flexible work

Healthcare

Required Skills

Tableau

SQL

Excel

About the Team

The Search-Model Data team at Tik Tok provides labeling services covering over 20 countries/regions and 18 languages. The team provides data labeling for training and testing of search models for various business segments, such as search ranking (user experience improvement), search recommendation, search ads, and search security (non-bottom line), helping to improve search results and optimise search ranking through efficient and accurate data labeling and professional analysis.

Responsibilities

  • Perform as the product operations role; Manage the operation of labeling projects that deliver training/testing data for machine learning models, with the ultimate goal of optimising users' search results.
  • Work as the project owner, undertake various tasks during the project lifecycle, including but not limited to request undertake, project plan design, design quality and performance standards and assessing risks to proactively minimise the risk to ensure the project targets can be achieved.
  • Work closely with the global data service team on the project implementation, resource management, quality assurance and any optimisation initiatives.
  • Conduct ROI analysis and regular review based on the model performance of machine learning models, as well as driving optimisations on quality improvement, efficiency improvement and cost saving to achieve a higher project ROI.
  • Foresee possible risks, prepare necessary risk management procedures and react to unexpected issues in a timely manner.

Minimum Qualifications

  • Bachelor's degree or above is required.
  • Minimum of 2 years of work experience in Product operation, Project Management.
  • Fluent in English is required as the role requires communication with English markets & stakeholders.
  • General knowledge about Search Engineering/Search engines/Search related strategies.

Preferred Qualifications

  • Quality management experience. Experience collaborating with labelling vendors is preferred.
  • Solid understanding of quality, efficiency, and cost management principles.
  • Problem-solving skills and the ability to think critically.
  • Solid communication and presentation skills and work effectively with cross-functional teams and stakeholders.
  • Analytical skills with a proven ability to utilise data for decision-making and driving improvements.
  • Thorough understanding of search engines and familiarity with Tik Tok or similar social media platforms.
  • Ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures