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Machine Learning Engineer - TikTok E-Commerce

TikTok

Machine Learning Engineer - TikTok E-Commerce

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Remote work flexibility

Annual team offsites

Learning and development stipend

Flexible PTO policy

Health, dental, and vision coverage

Wellness benefits

Required Skills

Python

PyTorch

Airflow

Responsibilities

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 E-Commerce Risk Control Team

The E-Commerce Risk Control (ECRC) team is missioned:

  • To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator;
  • By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform;
  • Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

The ECRC team works to minimize the damage of inauthentic behaviors on Tiktok E-Commerce platforms (e.g. Tik Tok Shop, Jumanji, Fanno), covering multiple classical and novel community and business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.

In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Key Responsibilities

  • Build rules, algorithms and machine learning models, to respond to and mitigate business risks in Tiktok products/platforms. Such risks include and are not limited to account integrity, scapler, deal-hunter, malicious activities, brushing, click-farm, information leakage etc.
  • Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.
  • Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.
  • Support the production of scalable and optimised AI/machine learning (ML) models
  • Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.
  • Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

Qualifications

  • Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors (e.g. finance if applying for financial fraud roles).
  • At least 5 years with solid data science skills. Proficiency in statistical analytical tools, such as SQL, R and Python.
  • Familiarity with machine learning or social/content online platform analytics. Bonus given to proficiency in modern machine learning applications.
  • Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

Our Commitment to Diversity

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.

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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