Machine Learning Engineer, E-Commerce Risk Control - USDS
About the position
The Machine Learning Engineer for E-Commerce Risk Control at TikTok is responsible for developing machine learning solutions to mitigate various business risks associated with the TikTok platform. This role focuses on enhancing account integrity and addressing malicious activities, ensuring a secure and user-friendly environment. The position involves collaboration with cross-functional teams to build robust systems that protect user data while fostering creativity and innovation within the company.
Responsibilities
Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms.
,
Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization.
,
Up-level risk machine learning excellence on privacy/compliance, interoperability, risk perception, and analysis.
Requirements
Master's degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM majors.
,
Experience programming in Java, C++, Python, or related languages.
,
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 languages such as 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.
Nice-to-haves
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.
,
Excellent analytical and communication skills and ability to influence stakeholders.
,
Experience in e-commerce/online companies in fraud/risk control functions.
Benefits
100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with company match.
,
Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
,
10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
,
12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
,
Mental and emotional health benefits through EAP and Lyra.
,
401K company match, gym, and cellphone service reimbursements.
Apply Now
The Machine Learning Engineer for E-Commerce Risk Control at TikTok is responsible for developing machine learning solutions to mitigate various business risks associated with the TikTok platform. This role focuses on enhancing account integrity and addressing malicious activities, ensuring a secure and user-friendly environment. The position involves collaboration with cross-functional teams to build robust systems that protect user data while fostering creativity and innovation within the company.
Responsibilities
Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms.
,
Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization.
,
Up-level risk machine learning excellence on privacy/compliance, interoperability, risk perception, and analysis.
Requirements
Master's degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM majors.
,
Experience programming in Java, C++, Python, or related languages.
,
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 languages such as 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.
Nice-to-haves
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.
,
Excellent analytical and communication skills and ability to influence stakeholders.
,
Experience in e-commerce/online companies in fraud/risk control functions.
Benefits
100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with company match.
,
Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
,
10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
,
12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
,
Mental and emotional health benefits through EAP and Lyra.
,
401K company match, gym, and cellphone service reimbursements.
Apply Now