Senior Machine Learning Engineer - Fraud Optimization
Senior Machine Learning Engineer - Fraud Optimization
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Salary Not Disclosed
1 Vacancy
Job Description
Roblox is a highgrowth unique product environment. You will be developing antifraud and abuse solutions for web mobile and 3D environments as well as personalizing the experience of our payments high impact work and your innovation is critical for the wellbeing of our community and to the future of our company. We aim for our users to have peace of mind that their communities and transactions are protected. Our defenses also protect our companys rapid expansion and safeguard billions in revenue. Robloxs virtual marketplace handles over 4 million transactions a day and enables our top developers to make millions of dollars a year.
Why Economy Fraud & Optimization
As an Economy Fraud & Optimization engineer you defend Roblox from all types of fraud including purchasing and selling virtual items and payment fraud. Additionally you will play a key role in optimizing the payments funnel identifying friction points and implementing strategies to improve conversion rates and personalize the user experience.
Our teams challenges are not just regular daytoday technical challenges. Fraud and abuse approaches need to shift over time depending on the current behaviors of fraudsters. As an Economy ML engineer you will be in a datadriven environment developing both classical and novel approaches to detect and prevent this bad behavior.
You Will:
- Build deploy maintain and monitor highscale ML solutions while working closely with product engineers and infra engineers.
- Implement models improve infrastructure build visualizations perform data analysis forecast fraud scenarios and assist fraud investigations.
- Optimize and personalize the payments funnel to reduce friction improve conversion rates and tune toward user preferences.
- Collaborate with generalist backend engineers data scientists product and operations.
- Build and deliver complex technical projects from the planning stage through .
- Ensure that our systems are scalable reliable and extensible.
You Have:
- 5 years of professional experience building and working on endtoend ML systems including data analysis ML modeling and data pipelines.
- Domain experience in fraud abuse risk security or trust & safety is a plus but not required.
- Passion for delivering products endtoend from ideation through implementation and A/B testing while being empathetic with crossfunctional stakeholders.
- Ownership mindset with proactive candid communication.
- Bachelors Degree or above in computer science engineering mathematics machine learning or some other quantitative field.
Required Experience:
Senior IC
Employment Type
Full Time
