Machine Learning Engineer, Ecommerce Risk Control

buyer, seller, creator;

• To make Tiktok 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 Tiktok e-commerce platforms (e.g. TikTok 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 a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors' actions and practices to gain unfair business advantages; b) empowering Tiktok 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 Tiktok 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 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.
• Maintain technical documents and communicate results to diverse audiences with effective writing, visualizations, and presentations

Qualifications

Basic Qualifications:

• Master degrees in Computer science, Mathematics, Machine Learning, or other relevant STEM majors (e.g. finance if applying for financial fraud roles). Experience programming in Java, C++, Python or related language
• 3+ 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 relevant field
• 4+ years of industry experience in predictive modeling and analysis
• Experience collaborating with product, operations and engineering teams is a plus.
• Excellent analytical and communication skills and ability to influence stakeholders.
• Experience in e-commerce / online companies in fraud / risk control functions

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 during our recruitment process. If you need assistance or an accommodation, please reach out to us at [email protected].

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $129200 - $194750 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. 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.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.