25 дней назад
Principal Machine Learning Engineer - League of Legends (AI/ML)
292 300 - 437 900$
Мэтч & Сопровод
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Описание вакансии
Текст:
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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