Principal Machine Learning Engineer, Account Authentication
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Why Account Authentication?
Safety and Civility is Roblox's #1 priority and our mission is to protect our community. As a Principal Machine Learning Engineer on the Account Authentication team, you’ll build machine learning solutions to secure user accounts, detect suspicious behavior, and improve onboarding. We ensure that millions of users can access Roblox easily and securely every day.
You Will:
- Drive the design, development, and deployment of advanced ML models for account security, including account takeover detection and anomaly detection in authentication flows.
- Identify, propose, and lead new ML initiatives that enhance both user security and onboarding experience.
- Oversee ML project lifecycles end-to-end, from scoping and data collection to modeling, evaluation, productionization, and ongoing monitoring.
- Define and enforce standards for ML model quality, reliability, and operational excellence.
- Provide technical leadership and mentorship to ML engineers and set best practices for the broader Accounts organization.
- Collaborate cross-functionally with product managers, data scientists, engineers, and UX teams to align technical solutions with business priorities.
- Influence the long-term technical direction and roadmap for ML in account security across Roblox.
You Have:
- 8+ years in demonstrated expertise building, deploying, and maintaining ML models for classification, anomaly detection, or fraud prevention at large scale.
- Experience leading high-impact ML projects and setting technical direction at an organizational level.
- Deep skills in data modeling, feature engineering, ML architecture, and evaluation.
- Proven ability to mentor engineers, lead technical discussions, and drive adoption of ML best practices across teams.
- Fluency in Python and major ML/data science libraries.
- Experience collaborating with stakeholders outside engineering to clarify goals and drive alignment.
- Bonus: Experience with account security and authentication, or detection of spam/abuse/growth risk.
- Bonus: Familiarity with GoLang, Rust, C#, or Lua.
- Bonus: Background in Data science.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.
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Perks and Benefits
Health and Wellness
Parental Benefits
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Diversity and Inclusion