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Machine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with EA SPORTS. in VANCOUVER, CA. Compensation shown: $77K–$105K (est.). Imported listing (source: jobsca.org). Apply on the employer's site (jobsca.org).
Imported listing (source: jobsca.org) · Apply on jobsca.org
VANCOUVER · CA
$77K–$105K (est.)
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobsca.org
This role focuses on the full-stack machine learning engineering lifecycle for EA Sports FC, specifically operationalizing and scaling ML solutions for personalized in-game experiences. The engineer will handle edge deployment strategies and optimize Large Language Models (LLMs) to enhance player engagement. It is a hybrid technical role bridging model development with production infrastructure.
Responsibilities
- Operationalize and deploy machine learning models for in-game personalization
- Scale ML solutions within the FC franchise ecosystem
- Optimize LLM performance for edge devices
- Collaborate on full-stack ML engineering tasks
Requirements
- Experience in full-stack machine learning engineering
- Knowledge of deploying ML models to edge environments
- Familiarity with LLM optimization techniques
- Background in building scalable AI systems
Nice to Have
- Experience in the gaming industry
- Knowledge of specific game engine integrations
- Experience with real-time inference optimization
Tech Stack
ES
EA SPORTS
Redwood City · US · 680+ employees
EA SPORTS is a division of Electronic Arts that develops and publishes sports video games. It creates iconic sports franchises including EA SPORTS FC, Madden NFL, NHL, and UFC.
