Назад
6 дней назад

Senior Data Scientist, Engine Infra

221 380 - 263 670$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist, Engine Infra (Data Science/Gaming Infrastructure): Building metrics, telemetry pipelines, dashboards, and decision systems for Roblox’s game-server fleet and edge infrastructure with an accent on system efficiency, reliability, capacity, and player-experience measurement. Focus on designing hardware and channel experiments, applying causal inference to multiplexing and latency, and diagnosing complex production issues across engine, infrastructure, and networking systems.

Location: San Mateo, California, United States; onsite Tuesday, Wednesday, and Thursday, with optional office presence Monday and Friday

Salary: $221,380–$263,670 USD base pay annually, plus equity and benefits for full-time employees.

Company

Roblox builds tools and platform infrastructure for user-created 3D immersive digital experiences.

What you will do

  • Own metrics, telemetry logging, and validation for the RCC game-server fleet and edge compute infrastructure.
  • Establish KPIs for server efficiency, reliability, crashes, memory usage, occupancy, multiplexing, and latency-driven player experience.
  • Process large-scale engine telemetry and build analytics pipelines, dashboards, and operating views for fleet optimization.
  • Design channel tests, hardware A/B tests, and causal analyses for multiplexing, ARM64 bursting, regional capacity, and edge latency.
  • Partner with Engine Infra, Game Engine, Networking, Matchmaking, Infrastructure, Product, TPM, Creator Analytics, and Growth teams.
  • Use data to improve fleet efficiency, regional capacity, edge latency, and the scalability of live experiences.

Requirements

  • Advanced degree in Computer Science, Statistics, Engineering, or a related field focused on large-scale system analysis.
  • At least 4 years of experience as a Data Scientist.
  • Experience working with high-volume telemetry and optimizing product quality.
  • Expertise processing massive, noisy datasets such as crash logs and telemetry pings and building scalable reporting pipelines.
  • Ability to debug complex, ambiguous system failures using first-principles reasoning.
  • Experience presenting technical results to engineering leaders and using data storytelling to prioritize investment.

Nice to have

  • Experience with game engines or systems performance.
  • Background in game development or real-time interactive systems.
  • Knowledge or interest in memory management, operating-system interactions, or network-stack optimization.

Culture & Benefits

  • Hybrid office schedule for roles based at the San Mateo headquarters.
  • Equity compensation and employee benefits for full-time employees.
  • Work focused on safer, more civil, and scalable shared digital experiences.
  • Equal employment opportunity and reasonable accommodations during the recruiting process.

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