Remote Staff ML Engineer - Anti-Cheat & Real-Time Detection

SportsTechJobs; United States; Remoto; USD 150.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible work schedules

Medical, dental, and life insurance

Parental leave for you and family

401k with company match

Descrizione del lavoro

Riot Games is seeking a Staff Machine Learning Engineer in Central Technology, Anti-Cheat. You will design and deploy real-time ML models to detect cheating and abuse, building scalable inference pipelines that process high-throughput game actions with minimal latency.

You will work with anti-cheat experts, game teams, and data engineers to ensure robust detection, model retraining, and continuous monitoring. This role emphasizes impact, mentorship, and alignment with Riot’s fairness goals.

Competenze

• Bachelor’s degree or higher in a quantitative field or equivalent practical experience.
• 6+ years of delivering ML systems in production, 3+ in applied modeling/research.
• Strong understanding of traditional ML models and production deployment in one domain.

Mansioni

• Design, train, and deploy real-time ML models to detect gameplay anomalies and cheating.
• Build scalable inference pipelines handling millions of actions per second with low latency.
• Collaborate with anti-cheat engineers to address emerging cheating techniques and engineer high-signal features.
• Establish robust ML Ops practices, including automated retraining loops and monitoring for drift.
• Analyze high‑dimensional player data to minimize false positives and balance fair play.

Conoscenze

Real-time ML systems

ML Ops

Communication

Mentoring

Product ownership

Formazione

Bachelor’s degree in CS/ML/Statistics or related field

Strumenti

MySQL

PostgreSQL

Elasticsearch

HDFS

S3/GC Storage

Cloud Data Pipelines

Descrizione del lavoro

Riot Games is seeking a Staff Machine Learning Engineer in Central Technology, Anti-Cheat. You will design and deploy real-time ML models to detect cheating and abuse, building scalable inference pipelines that process high-throughput game actions with minimal latency.

You will work with anti-cheat experts, game teams, and data engineers to ensure robust detection, model retraining, and continuous monitoring. This role emphasizes impact, mentorship, and alignment with Riot’s fairness goals.