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About the Role
Electronic Arts creates next-level entertainment experiences. Central Technology accelerates creative opportunity and progress, powering platforms, AI-driven tools, live services, and infrastructure. EA Security protects players, employees, products, and platforms by setting security standards, supporting teams, assessing risk, and ensuring compliance. The Senior Machine Learning Engineer will build and operate production-grade data and machine learning infrastructure for fraud detection, anti-cheat, and account security solutions.
Responsibilities
- Design, build, and maintain scalable data ingestion, transformation, and feature pipelines for machine learning workflows.
- Own and operate production data and machine learning infrastructure, including batch and near-real-time processing, feature generation, training, and inference.
- Partner with data scientists to productionize machine learning models, focusing on data consistency, quality, and reliable feature computation.
- Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud agnostic.
- Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor.
Requirements
- Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.
- Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines.
- Experience designing and operating data-intensive systems using modern programming languages.
- Hands-on experience supporting end-to-end machine learning workflows, with an emphasis on data preparation, feature pipelines, and model deployment infrastructure.
- Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience with CI/CD systems and production deployment workflows, including GitLab.
- Experience with Terraform and Spark.
Skills
- Python
- SQL
- Rust
- AWS
- GCP
- Docker
- Kubernetes
- GitLab
- Terraform
- Spark
Location
- Kirkland, Washington, United States of America
- Vancouver, British Columbia, Canada
- Austin, Texas, United States of America
Work Type
- Hybrid
- Regular Employee
Experience Level
- Senior
Salary/Compensations
- $114,300 - $156,200 CAD
- $122,300 - $158,500 USD
Benefits
- Paid time off (3 weeks per year to start)
- 80 hours per year of sick time
- 16 paid company holidays per year
- 10 weeks paid time off to bond with baby
- Medical/dental/vision insurance
- Life insurance
- Disability insurance
- 401(k)
- Vacation (3 weeks per year to start)
- 10 days per year of sick time
- Paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave)
- Extended health/dental/vision coverage
- Retirement plan
- Complimentary games
About the Company
- We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
- We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Equal Opportunity
- Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.