Risk Analytics Engineer Jobs

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5d ago

Machine Learning Engineer - E-commerce Risk Control

TikTok Seattle, WA

Seattle, WA

5d ago

$148k - $301k/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

TikTok seeks a Machine Learning Engineer focused on E-commerce Risk Control in Seattle to design ML solutions that prevent and detect risks across TikTok Shop and related platforms, collaborating with cross-functional teams to secure the ecosystem.

Responsibilities

Invent, implement, and deploy state of the art machine learning algorithms to respond to and mitigate business risks across TikTok products and platforms
Prototype new solutions, define experiments to test hypotheses, and share insights with product and engineering teams
Partner with multidisciplinary teams to enhance current automation and risk defense workflows
Develop efficient data querying infrastructure for offline and online analysis, uncover evolving attack patterns, and identify opportunities to strengthen defenses
Define risk control metrics, quantify and monitor risk related business and operational indicators, and align stakeholders on data-driven goals
Document technical work and communicate results through writing, visualizations, and presentations to diverse audiences

Requirements

Master’s degree in Computer Science, Mathematics, Machine Learning, or related STEM field; or equivalent experience
2+ years of hands-on experience building and delivering ML models for large-scale projects
Track record of developing models and visualizations using programming and scripting languages (Scala, Python, R, Ruby, Matlab)
Experience with forecasting, machine learning, and statistical tools, plus clear communication of results, plans, and risks
Creative problem solving and strong analytical thinking
A PhD in CS, Machine Learning, Statistics, Operations Research, or related field
3+ 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 with the ability to influence stakeholders
Experience in e-commerce or online companies in fraud or risk control functions

Technologies

Java
C++
Python
Scala
R
Ruby
Matlab

Benefits

Medical, dental, and vision insurance
401(k) with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at start and accruing with tenure
Additional discretionary bonuses or incentives
Restricted stock units

Job details

Location: Seattle, WA (onsite)
Employment type: Regular
Salary: USD 148,200 - 300,960 per year
Job code: A45354
Education: Master’s degree
Experience: 2+ years

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