Position Details
About this role
Software Engineer focused on applying machine learning to FC Quality Verification in the EA Studios; build ML models, train and evaluate them, and integrate ML solutions with QA workflows.
Key Responsibilities
- Change Impact Analysis: build ML models to predict code change impacts
- Game Simulation Modelling: forecast in-game simulations
- Feature Validation: design LLM-driven automated testing frameworks
- Collaboration: partner with QA and AI/ML teams
- Integrate ML models into developer workflows
Technical Overview
Emphasis on Python and possibly C++, backend APIs, ML engineering workflows, model training/evaluation, and collaboration with AI/ML teams; hybrid role in Orlando.
Ideal Candidate
The ideal candidate is a mid-level ML software engineer with 1-2 years of ML or software experience, proficient in Python (and possibly C++), capable of building ML models, evaluating them, and integrating ML solutions into game-quality verification workflows in a hybrid Orlando setting.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of 1+ years ML/software experience, Inability to work in a hybrid Orlando environment
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile