This role pays less than
95%
of similar roles. Most pay
$190,750–$254,750
— the shaded band above.
At the midpoint, this role pays about
$135k
versus about
$223k
for comparable roles.
Based on 240 similar postings.
Employer
About Electronic Arts
Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.
Electronic Arts currently has
28 open roles
on FindRole.
Listed pay typically runs
$141,400–$204,400
across 13 roles with salary data.
As a Machine Learning Engineer III within the EA Player Security Data Labs team, you will operate as a senior individual contributor focused on building and operating production-grade data and machine learning infrastructure. You will design, build, and maintain scalable data ingestion, transformation, and feature pipelines to support fraud detection, anti-cheat, and account security solutions across games. Your daily work involves partnering with data scientists to productionize models while ensuring pipeline reliability and cloud agnosticism. The role requires proficiency in Python and SQL, with experience in Rust, Spark, and Terraform. You will utilize tools such as Docker, Kubernetes, and GitLab within AWS or GCP environments. This position addresses the critical business problem of protecting player trust and fair play by developing robust systems to mitigate fraud and cheating across various gaming platforms.
What does a Machine Learning Engineer earn in Washington?
Median $241750 from 66 postings across 14 companies.
Python
C++
PyTorch
CUDA
GPU Kernel Optimization
Machine Learning
Distributed Training
Inference Serving
Data Pipelines
Computer Architecture
3DGS
Vision Algorithms
Model Deployment
Performance Engineering