Senior Machine Learning Infrastructure Engineer, Ads at Roblox

San Mateo, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

289460.0

Posted On

23 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Infrastructure, Data Pipelines, Feature Engineering, Model Inference, Technical Strategy, Mentoring, Collaboration, Operational Excellence, Performance Optimization, Scalability, Reliability, Cost-Effectiveness, Monitoring, Alerting, Incident Response

Industry

Software Development

Description

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 Ads ML Infra? With Roblox Ads business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver effective performance ads to our users, and more business values to our advertisers. As a Senior Machine Learning Infrastructure Engineer in our Ads ML Infra team, you’ll build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You’ll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users. You Will: Lead the technical strategy and implementation of scalable ML infrastructure including model training, data pipelines, feature engineering and model inference. Shape the team’s technical vision by helping define the roadmap, establishing foundational architecture, and driving key execution milestones. Mentor and support junior engineers, setting strong technical standards and fostering a culture of collaboration and learning. 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. Own the architecture, scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature). Dig into performance bottlenecks all along the ML stack, spanning from model optimizations to infrastructure optimizations. Ensure high operational excellence in deployed ML infrastructure (monitoring, alerting, incident response). Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices. You Have: 5+ years of experience and a proven track record of designing, building, and deploying large-scale machine learning systems in production environments. Impact driven mindset: prioritizing product impact, reliability, and measurable success over code volume or complexity. Strong communication skills and a collaborative approach to problem solving. BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience. 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. Annual Salary Range $238,520—$289,460 USD 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 to candidates with qualifying disabilities or religious beliefs during the recruiting process.

Responsibilities

Lead the technical strategy and implementation of scalable ML infrastructure, including model training and data pipelines. Work closely with various teams to design and operate robust ML platforms that accelerate model development and deployment.