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Machine Learning Engineer (Ecomm Algo RCS - Account Security / ATO focused) - USDS

Location:

San Jose

Employment Type:

Regular

Job Code:

A05319A

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Responsibilities

About the Team The E-Commerce Risk Control & Security (RCS) team works to protect our users, including and beyond buyer, seller, creator; to minimize the damage of inauthentic behaviors on TikTok Shop (TTS) 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. By utilizing Machine Learning models, LLMs, graphs, & algorithm, RCS dynamically controls risk scenarios, identify Modus Operandi (MO), and enforces rules in realtime to protect TTS and minimize capital loss from fraudsters, hackers, and questionable buyers, sellers, and creators. Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders, RCS team operates 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 TTS platform. Responsibilities: - Building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders, to identify cybersecurity threats, prevent accounts takenover, and the corresponding mitigation strategies in various scenarios - Invent, implement, and deploy state of the art machine learning algorithms, to respond to and mitigate business risks in TTS 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 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: - Bachelor's or above in Computer Science, Mathematics, Machine Learning, or a related STEM major (e.g., Finance for financial fraud roles). - 3+ years of industry experience building and working on end to end machine learning systems, including data analysis, ML modeling and data pipelines. - Experience with NLP (Natural Language Processing), large language models (LLMs) and their applications to fraud detection. - Proficiency in Python and SQL, experience with big data and real time processing such as Spark, Flink, or Kafka, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Preferred Qualifications: - Domain knowledge of fraud, abuse, risk, cybersecurity threats and mitigation strategies, background in building solutions to identify account take over attacks is a plus. - Experience with anomaly detection techniques and behavioral biometrics to distinguish legitimate users from attackers. - Experience in realtime and offline Account Security aspects in large scale E-commerce / financial platforms, and the anti-ATO (account takeover) techniques - Experience in realtime Traffic Security aspects of large scale E-commerce / financial platforms, and the site content protection / anti-crawling techniques. - Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a plus.


Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $145000 - $355000 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.

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

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