Machine Learning Engineer/Applied Data Scientist, E-Commerce Risk Control - USDS

TikTok; Seattle (WA); Hybrid; USD 184,000 - 338,000; Full time

Job summary

TikTok’s E-Commerce Risk Control team is seeking a Machine Learning Engineer/Applied Data Scientist to address innovative challenges in managing business risks across the platform. This position offers a unique opportunity to contribute to security initiatives while collaborating on developing robust, intelligent systems tailored for risk management. A Master’s degree in a relevant field and a strong background in ML are essential for success in this role.

Benefits

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Paid holidays and sick days

Qualifications

• 3+ years of hands-on experience in building machine learning models.
• Strong understanding of ML systems and risk scoring models.
• Ability to work on real-time ML and effectively communicate results.

Responsibilities

• Build machine learning solutions to mitigate business risks.
• Improve modeling infrastructure and algorithms for robustness.
• Develop fraud detection and anomaly detection models.

Skills

Machine Learning

Anomaly Detection

Predictive Modeling

Data Analysis

Feature Engineering

Education

Master's Degree in Computer Science, Mathematics, or Machine Learning

Tools

Python

Java

C++

Scala

Job description

Machine Learning Engineer/Applied Data Scientist, E-Commerce Risk Control - USDS

Machine Learning Engineer/Applied Data Scientist, E-Commerce Risk Control - USDS

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Responsibilities
About the team
The E-Commerce Risk Control team works to minimize the damage of inauthentic behaviors on Tiktok E-Commerce platforms, covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious behaviors, 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 evolution of a phenomenal product eco-system. The work needs to be fast, transferable, while still down to the ground to make quick and solid differences.

Responsibilities:
- Build machine learning solutions to respond to and mitigate business risks in Tiktok products/platforms. Such risks include and are not limited to abusive account integrity, scalper, deal-hunter, malicious activities, brushing, click-farm, information leakage 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.
- Up-level risk machine learning excellence in privacy/compliance, interpretability, risk perception and analysis.
- Build fraud detection, anomaly detection, and risk-scoring models using supervised, unsupervised, and deep learning techniques.
- Apply graph-based models for detecting fraud networks

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Qualifications
Minimum 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).
- Strong understanding of anomaly detection, predictive modeling, and Bayesian inference.
- Experience with real-time ML systems, feature engineering, and risk scoring models.
- Experience using various forecasting, machine learning and statistical tools and communicating results, plans and/or risks clearly.
- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

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
- Knowledge of explainable AI (XAI) techniques (SHAP, LIME)

About USDS
TikTok 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 TikTok 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 TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok 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.

Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.


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.


USDS Reasonable Accommodation
USDS 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 https://tinyurl.com/USDS-RA


Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $184300 - $337250 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.
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) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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