Senior Machine Learning Engineer - E-commerce Risk Control

Senior Machine Learning Engineer – E-commerce Risk Control

Location:

Seattle

Employment Type:

Regular

Job Code: A106541

Mission

The E-Commerce Risk Control (ECRC) team's mission is to protect Tik Tok e‑commerce users, including and beyond buyer, seller, creator, and to make Tik Tok e‑commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e‑commerce ecosystem and providing a safe shopping experience on the platform. Through building software systems, risk models and operational processes, as well as collaborating with many cross‑functional teams and stakeholders.

The ECRC team works to prevent and detect any risk attempts in Tik Tok e‑commerce platforms (e.g. Tik Tok Shop, Fanno) and to mitigate the negative impact on our customers and Selling Partners (SPs), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click‑farm, information leakage, etc.

We achieve our mission by:

• Developing state‑of‑the‑art Machine Learning (ML) solutions to prevent customers, SPs, and Tik Tok from being impacted by bad actors’ actions and practices to gain unfair business advantages.
• Empowering Tik Tok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.

Responsibilities:

• Invent, implement, and deploy state‑of‑the‑art machine learning algorithms to respond to and mitigate business risks in Tik Tok products/platforms.
• Build prototypes and explore conceptually new solutions, define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams.
• Collaborate with cross‑functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes.
• Develop efficient data querying infrastructure for both offline and online analysis, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new spaces from the discoveries.
• Define risk control measurements. Quantify, generalize and monitor risk‑related business and operational metrics. Align risk teams and stakeholders on risk control numeric goals, promote impact‑oriented, data‑driven data science practices for risks.
• Maintain technical documents and communicate results to diverse audiences with effective writing, visualizations, and presentations.

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM majors (e.g., finance for financial fraud roles).
• Experience programming in Java, C++, Python or related languages.
• 4+ years of hands‑on experience in building and delivering machine learning models for large‑scale projects.
• Track record of developing and implementing models and visualizations using programming and scripting (Scala, Python, R, Ruby, and/or Matlab).
• Experience using various forecasting, machine learning and statistical tools and communicating results, plans and/or risks clearly.
• Ability to think creatively and solve problems.

Preferred Qualifications:

• A PhD in CS, Machine Learning, Statistics, Operations Research, or a relevant field.
• Industry experience in predictive modeling and analysis.
• Experience collaborating with product, operations and engineering teams.
• Excellent analytical and communication skills and ability to influence stakeholders.
• Experience in e‑commerce / online companies in fraud / risk control functions.

The base salary range for this position in the selected city is $202,160 - $368,220 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k)…