Machine Learning Engineer, eCommerce Risk Control

Responsibilities

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

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform.

We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes.

Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility.

Join us and make impact happen with a career at TikTok.

The E-Commerce Risk Control (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.

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

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 abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.

• Establish reliable, efficient and modularized risk defense solutions, reduce manual workload on ramping up risk controls on / against new business, risk area, or abusive means.
• Uplevel risk defense excellence on privacy / compliance, machine learning, risk perception and analysis, achieve in-depth defense portfolio.

Qualifications

Qualifications :

Bachelor or degrees above in computer science, computer engineering, electrical engineering, statistics or other relevant majors (e.

g. finance if applying for applying for financial fraud roles).

• Solid engineering skills. Proficiency in at least two of : Linux, Hadoop, Hive, Spark, Storm.
• Familiarity with data mining, data science or machine learning. Bonus given to proficiency in modern machine learning theories and applications such as deep neural nets, transfer / multi-task learning, reinforcement learning, time series or graph unsupervised learning.
• Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

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.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation, please reach out to us at redacted .