Roblox Ads business is growing at a rapid rate, and they need to build large scale ads machine learning infrastructure to deliver effective performance ads to users and more business values to advertisers. They are looking for an EM to lead a team of exceptional ML infrastructure engineers to build scalable, reliable, and high-performance infrastructure that powers ML systems across the organization.
Requirements
- 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments.
- 2+ years of experience managing ML infrastructure engineers
- End-to-End Execution: You’ve built ML systems from data ingestion to serving in production.
Responsibilities
- Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference.
- Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature).
- Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment.
- Recruit, mentor, and grow a high-performing team of ML infrastructure engineers.
Other
- Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed.
- BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.
- Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
