Principal ML Engineer: Personalization & Matchmaking

Riot Games; Los Angeles (CA); On-site; USD 251,700 - 351,900; Full time

Benefits offered by this job

Open paid time off policy

Flexible work schedules

Medical, dental, and life insurance

401(k) with company match

Job summary

A leading gaming company is seeking a Principal Machine Learning Engineer to shape the architecture powering matchmaking and personalization in player experiences. This role involves collaborating with Product and Engineering teams to develop AI systems that enhance player interactions. Key qualifications include extensive experience in ML, the ability to design complex ML models, and a passion for improving player experiences through technology. This position offers competitive compensation, flexible work options, and a supportive environment focused on work/life balance.

Qualifications

• Experience with large-scale, real-time ML systems.
• Strong grounding in A/B testing and experiment design.
• Expertise in player modeling, trust & safety, and toxicity detection.

Responsibilities

• Define and lead modeling architecture for personalization and matchmaking.
• Develop models for skill inference and player behavior prediction.
• Drive adoption of advanced modeling approaches.

Skills

Large-scale ML systems

Graph ML

Reinforcement Learning

Proficiency in PyTorch

Experience metrics

Education

10+ years in ML/Applied AI

3+ years in principal/staff-level technical leadership

Tools

TensorFlow

JAX

Ray

Kafka

Flink

Redis

Job description

A leading gaming company is seeking a Principal Machine Learning Engineer to shape the architecture powering matchmaking and personalization in player experiences. This role involves collaborating with Product and Engineering teams to develop AI systems that enhance player interactions. Key qualifications include extensive experience in ML, the ability to design complex ML models, and a passion for improving player experiences through technology. This position offers competitive compensation, flexible work options, and a supportive environment focused on work/life balance.