GenAI Platform Engineer: Scale ML, LLM Services

Roblox Corporation; San Mateo (CA); On-site; USD 153,000 - 197,000; Full time

Job summary

Roblox Corporation in San Mateo, CA, is hiring for an early career role in Foundation AI. You will design, code, test, launch, and operate production features spanning model training, inference, and service infrastructure, collaborating across product, research, data, and safety teams.

The role emphasizes building scalable, reliable AI systems, with hands-on work in ML frameworks, distributed systems, and developer tooling, while learning and growing with a fast-moving tech platform.

Qualifications

• Undergraduate/graduate degree in computer science or related engineering field.
• 1–3 years of experience in software engineering, distributed systems, cloud services, or related area.
• Experience building projects through coursework, internships, research, or personal work.
• Working knowledge of Go, Python, or Rust and willingness to learn new technologies.
• Interest in machine learning, generative AI, distributed systems, data infrastructure, or developer platforms.
• Strong communication skills and willingness to collaborate across teams and disciplines.

Responsibilities

• Build platforms and services that power machine learning, generative AI and agentic platform experiences across Roblox.
• Explore emerging technologies, including ML frameworks, LLMs, agentic systems, distributed systems, and GPU infrastructure.
• Improve speed, reliability, observability, and cost efficiency of AI development.
• Contribute to systems operating at Roblox scale while balancing quality, latency, reliability, and responsible data use.

Job description

Roblox Corporation in San Mateo, CA, is hiring for an early career role in Foundation AI. You will design, code, test, launch, and operate production features spanning model training, inference, and service infrastructure, collaborating across product, research, data, and safety teams.

The role emphasizes building scalable, reliable AI systems, with hands-on work in ML frameworks, distributed systems, and developer tooling, while learning and growing with a fast-moving tech platform.