Job Description
📋 Description Lead roadmap for scalable production-ready ML systems including model training, data pipelines, feature engineering, and inference. Own architecture and best practices for scalable, reliable ML infrastructure (training, serving, feature). Collaborate with data scientists, ML engineers, platform teams, and product stakeholders to design and operate robust ML platforms that accelerate model development and deployment. Stay current on ML and infrastructure trends to adopt leading-edge technologies and practices. Operate at scale: hundreds of billions of engagements and hundreds of millions of users. 🎯 Requirements 5+ years designing, building, and deploying large-scale ML systems in production. 3+ years leading ML infrastructure engineers. Strong communication and collaborative problem-solving skills. BS/MS/PhD in Computer Science, Engineering, or equivalent experience. 🎁 Benefits Onsite work: Tue , Thu; optional Mon/Fri. Equity compensation and benefits per Roblox total rewards page. US-based roles may not sponsor H-1B visas.
