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Machine Learning Engineer (Aftersale Experience) - TikTok E-commerce Governance

TikTok

Machine Learning Engineer (Aftersale Experience) - TikTok E-commerce Governance

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Learning and development stipend

Parental leave program

Health, dental, and vision coverage

Required Skills

Python

SQL

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

Tik Tok will be prioritizing applicants who have a current right to work in Singapore, and do not require Tik Tok's sponsorship of a visa.

Tik Tok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. Tik Tok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us:

Creation is the core of Tik Tok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make Tik Tok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At Tik Tok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the team
The team use the most advanced AI technology to combat various risks/violations in Tik Tok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

  • Utilize algorithms to expand the coverage of user rights in the after-sales process, ensuring a comprehensive and satisfactory experience for our customers.
  • Develop and implement uplift models to optimize subsidy ranges in the after-sales domain, maximizing the return on investment (ROI) for subsidy projects.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to gather requirements, design solutions, and integrate algorithms into our e-commerce platform.
  • Conduct data analysis and experimentation to identify patterns, trends, and opportunities for improving the after-sales experience and subsidy strategies.
  • Continuously monitor and evaluate the performance of implemented algorithms, making necessary adjustments and improvements based on feedback and data insights.
  • Stay updated with the latest industry trends, research advancements, and best practices in e-commerce algorithms and after-sales optimization techniques.

Qualifications

  • Bachelor's degree or above in computer science or related field

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  • Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++- Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience- Familiar with 1-2 areas in Uplift Model, Causal Inference model, Causal Forest, GBDT- Excellent analytical and problem-solving skills, passionate about challenging problems- Good team spirit and strong communication skills Preferred Qualifications:
  • Experience in user growth/subsidy/marketing plan/platform governance or overseas internet/e-commerce business is preferred.

Tik Tok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Tik Tok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Client-provided location(s): Singapore

Job ID: Tik Tok-7371726836549912882

Employment Type: OTHER

Posted: 2024-10-28T00:38:48
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

Hear directly from employees about what it is like to work at Tik Tok.

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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