Machine Learning Engineer - TikTok E-Commerce

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok is seeking a senior data scientist to join the E-Commerce Risk Control (ECRC) team in Singapore. You will build ML models, risk rules and analytics to protect buyers, sellers and creators, and collaborate with cross-functional teams to deploy safe, scalable solutions.

Requires at least 5 years in data science with proficiency in SQL, R and Python; a degree in CS, statistics, math or related STEM. Familiarity with ML applications and data-driven storytelling is preferred.

Qualifications

• Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors.
• At least 5 years with solid data science skills and proficiency in SQL, R and Python.

Responsibilities

• Build rules, algorithms and machine learning models to mitigate business risks in TikTok products and platforms.
• Analyze business and security data to uncover evolving attack patterns and identify weaknesses in risk defense solutions.
• Define risk control measurements and monitor risk-related metrics across operations.
• Support production of scalable and optimised AI/ML models.
• Focus on extracting, transforming and loading large volumes of real-time, unstructured data for AI/ML deployment.
• Run experiments to test model performance and resolve issues.

Skills

SQL

R

Python

Education

Bachelor's or higher in CS/Math/Stats

Job description

Responsibilities

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. TikTok 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.

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

Minimum 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.

Preferred Qualifications

• 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.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok 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 TikTok, 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.