Senior Data Scientist, Engine Infra

Overview

Senior Data Scientist on the Engine Infra team, responsible for the game-server fleet that simulates live experiences, focusing on efficiency, observability and reliability on Roblox edge infrastructure and regional cloud capacity.

What you'll do

• Own Engine Infra metrics, telemetry logging, and validation for the RCC fleet and edge compute.
• Establish KPIs for game-server efficiency, reliability, and player experience, including CPU and memory, heartbeat, occupancy and multiplexing efficiency, crash and OOM rates, runtime error codes, and latency quality (e.g. DataPing vs RakPing).
• Access and process raw RCC and engine telemetry, build analytics pipelines, and deliver clear operating views of the fleet.
• Turn per-instance, per-game, datacenter, and channel signals into dashboards and decision systems that help pack more players onto fewer cores, allocate CPU and memory correctly, and keep multiplexed and large-server processes healthy.
• Lead channel tests, hardware A/Bs, and causal analyses for multiplexing, ARM64 bursting, regional capacity, and edge latency.
• Measure trade-offs among efficiency, stability, and quality; separate host, container, engine, content, and release effects; and estimate player-experience impact, including latency-sensitive cohorts.
• Partner with Engine Infra, Game Engine, Networking, Matchmaking, Infrastructure, Product, and TPMs, and with teams such as Creator Analytics and Growth, to debug ambiguous production issues and open new capacity and quality opportunities.
• Influence how Roblox runs live experiences on owned edge and cloud hardware, including a more efficient RCC fleet, better regional capacity, lower edge latency, and a platform that stays interactive as servers grow larger and denser.

What you'll need

• Advanced degree in Computer Science, Statistics, Engineering, or a related field with a focus on large-scale system analysis.
• 4+ years as a Data Scientist, with a proven track record of working on high-volume telemetry and product quality optimization.
• Expertise in processing massive, noisy datasets (such as crash logs or telemetry pings) and building scalable pipelines for reporting.
• Experience using first-principles reasoning to debug complex, ambiguous system failures that don't always have a clear cause.
• Experience presenting deep technical results to Engineering leaders and using data storytelling to prioritize work and future investment.

Nice to have

• Direct experience with game engines or systems performance.
• Experience in game development or working on real-time interactive systems.
• A background or interest in memory management, OS-level interactions, or network stack optimization.

Details

• Location: San Mateo, CA, United States (headquarters).
• Onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.
• Annual base salary range: $221,380 to $263,670 USD.
• Eligible for equity compensation and benefits.
• For US-based roles only: the Company may not be able to employ candidates who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.