This role pays less than
96%
of similar roles. Most pay
$183,752–$249,756
— the shaded band above.
At the midpoint, this role pays about
$140k
versus about
$217k
for comparable roles.
Based on 239 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
75 open roles
on FindRole.
Listed pay typically runs
$122,300–$184,000
across 41 roles with salary data.
The Senior Machine Learning Engineer role at EA’s Security team in Kirkland, Washington or Austin, Texas involves designing and maintaining scalable data pipelines for fraud detection and anti-cheat systems. This senior individual contributor will build production-grade infrastructure to support machine learning workflows, ensuring data consistency and quality across environments. Key responsibilities include developing feature generation pipelines, training models, and deploying inference systems while collaborating closely with data scientists. The ideal candidate has five or more years of experience in data engineering or a related field, proficiency in Python and SQL, and hands-on experience with cloud platforms like AWS or GCP, Rust programming, Docker, Kubernetes, Terraform, Spark, and CI/CD tools such as GitLab. This role offers the opportunity to work on systems that protect millions of players across EA games, emphasizing data engineering fundamentals and production-focused machine learning practices.
Python
TensorFlow
PyTorch
scikit-learn
MATLAB
C++
signal processing
wireless communication
MIMO
OFDM
SDRs
GPU acceleration
embedded machine learning
real-time systems
adaptive modulation
beamforming
cognitive radio techniques
3GPP
IEEE 802.11/15
military waveforms