Назад
25 дней назад

Principal Machine Learning Engineer - League of Legends (AI/ML)

292 300 - 437 900$
Формат работы
onsite
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
Principal Machine Learning Engineer - League of Legends (AI/ML): Building and operating AI/ML platforms, serving architectures, feature platforms, and developer tooling for League of Legends at global scale with an accent on MLOps, reliability, security, and governance. Focus on designing self-healing pipelines, scalable ML services, low-latency data systems, and operational standards while mentoring senior engineers across products.

Location: Based at the Los Angeles headquarters, United States

Salary: $292,300–$437,900 USD base salary, plus incentive compensation, equity, and benefits.

Company

Riot Games develops player-focused games and experiences, including League of Legends.

What you will do

  • Lead AI/ML workflows, MLOps, automation, deployment standards, and self-healing pipelines for League of Legends.
  • Design and implement scalable ML serving architectures and APIs for global production workloads.
  • Lead ML feature platforms and data pipeline improvements addressing scale, latency, and reliability constraints.
  • Define developer experience, tooling, observability, incident response, cost optimization, and operational standards for AI/ML systems.
  • Establish governance, privacy, security, cryptography, and compliance practices for ML platforms.
  • Mentor senior engineers, coach across disciplines, and contribute to recruiting standards and interview kits.

Requirements

  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
  • 10+ years of professional software engineering experience, including 5+ years building production ML platforms, systems, or MLOps capabilities.
  • Experience leading platforms adopted and relied upon by multiple teams or products.
  • Deep operational experience with ML systems at scale, including training-serving skew, degradation, and cost management.
  • Background in cloud-native orchestration and large-scale system design, including Kubernetes, GPU scheduling, and container orchestration.
  • Experience improving ML developer productivity and mentoring senior or staff-level engineers.

Nice to have

  • Experience building ML platforms serving multiple products or game titles.
  • Experience solving novel scale, latency, or reliability problems in ML data pipelines.
  • Background in ML governance, security, privacy-preserving techniques, or organizational compliance.
  • Passion for player experience, games, or creative technology.

Culture & Benefits

  • Player-first culture focused on collaborative teams and diverse perspectives.
  • Open paid time off policy and flexible work schedules.
  • Medical, dental, vision, and life insurance.
  • Parental leave for employees, spouses or domestic partners, and children.
  • 401(k) with company match, equity, incentive compensation, and short- and long-term disability coverage.

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