TikTok
Machine Learning Engineer, E-Commerce Risk/Fraud - USDS
TikTok, Seattle, Washington, us, 98127
Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.
Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.
About USDSU.S. Data Security (“USDS”) is a standalone department 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 user data in the U.S., 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 Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
About the teamThe E-Commerce Risk Control (ECRC) team is missioned:To protect TikTok E-Commerce users, including and beyond buyer, seller, creator;By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform;Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.
The ECRC 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, scapler, 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 on privacy/compliance, interoperability, risk perception and analysis.
QualificationsBasic 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.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.
Job Information:The base salary range for this position in the selected city is $129960 - $246240 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.
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TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.
Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.
About USDSU.S. Data Security (“USDS”) is a standalone department 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 user data in the U.S., 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 Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
About the teamThe E-Commerce Risk Control (ECRC) team is missioned:To protect TikTok E-Commerce users, including and beyond buyer, seller, creator;By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform;Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.
The ECRC 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, scapler, 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 on privacy/compliance, interoperability, risk perception and analysis.
QualificationsBasic 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.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.
Job Information:The base salary range for this position in the selected city is $129960 - $246240 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.
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