Senior Machine Learning Engineer, Risk Data Mining - USDS

Senior Machine Learning Engineer, Risk Data Mining - USDS

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Responsibilities The USDS-Platform and Community Integrity (PaCI) team is missioned to:
- Protect U.S. Tik Tok users, including and beyond content consumers, creators, advertisers;
- Secure platform health and community experience authenticity;
- Build infrastructures, platforms and technologies, as well as to collaborate with many cross‑functional teams and stakeholders.
The PaCI team works to minimize the damage of inauthentic behaviors on Tik Tok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti‑spam, API abuse, growth fraud, live streaming security and financial safety, 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 evolution of a phenomenal product eco‑system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.

On‑site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real‑time decision‑making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in‑person schedule up to 5 days a week.

Responsibilities
- Build machine learning solutions to respond to and mitigate business risks in Tik Tok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping‑ups.
- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.

Qualifications

Minimum Qualifications :
- Master's or above degree in computer science, statistics, or other relevant, machine‑learning‑heavy majors.
- Solid engineering skills. Proficiency in at least two of:
Linux, Hadoop, Hive, Spark, Storm.
- Strong machine learning background. Proficiency or publications 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.

About USDS Tik Tok is the leading destination for short‑form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of Tik Tok in the U.S. This new, security‑first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the Tik Tok platform and U.S. user data, so millions of Americans can continue turning to Tik Tok to learn something new, earn a living, express themselves creatively, or be entertained.

The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join Us Inspiring creativity is at the core of Tik Tok'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…