The Machine Learning Software Engineer 3 will be responsible for building machine learning models and systems to improve game quality and solve complex software engineering problems. You will work cross-functionally with game designers, artists, and other software engineers to identify opportunities where machine learning can enhance game development and quality verification workflows. This role requires hands-on coding expertise in Python and machine learning frameworks like PyTorch or TensorFlow, as well as strong software engineering skills.
Work with stakeholders to identify opportunities where machine learning can improve game quality or developer productivity
Research, design, and implement neural network architectures and other machine learning models
Build end-to-end machine learning systems, including data collection/labeling, training pipelines, model deployment, and monitoring
Optimize model performance through techniques like hyperparameter tuning, loss function design, and architecture design
Write clean, well-documented, well-tested code that integrates smoothly with existing codebases
Debug models and analyze results to uncover insights and incrementally improve systems
Clearly communicate complex technical concepts and tradeoffs to non-technical stakeholders
Stay up-to-date on advancements in deep learning and adjacent fields through self-study, conferences, etc
5+ years professional software engineering experience
Strong Python programming skills and expertise in ML frameworks like PyTorch, TensorFlow
Experience building, debugging, and shipping end-to-end ML systems
Proficiency in software engineering best practices: version control, testing, code review, etc
Bachelor's degree in Computer Science, or equivalent experience
Excellent communication and collaboration skills
Background in computer vision, natural language processing, or other relevant ML domains
Experience applying ML to games or interactive 3D environments
Proficiency with C++ for understanding and modifying game code
Knowledge of game development processes and pipelines
Master's degree in CS or related technical field
Ability to take vague requirements and design effective ML solutions
Solid judgement and intuition on when ML is (or is not) appropriate for a problem
Resourcefulness and curiosity to learn new techniques independently as needed
Focus on shipping production ML systems, not just prototypes
Advocate for best practices in testing, documentation, ethics, and technical debt management
Eagerness to mentor and share ML knowledge across the organization
About Electronic Arts
Everything we do is designed to inspire the world to play. Through our cutting-edge games, innovative services, and powerful technologies, we bring worlds with infinite possibilities to millions of players and fans around the globe.
We’re looking for collaborative and inclusive people with diverse perspectives who will enrich our culture and challenge us. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support our people through every chapter of life. We provide comprehensive benefit packages and support for a balanced life with paid time off and new parent leave, plus free games and so much more. Our goal is to provide a safe and respectful workplace that empowers you to thrive in both work and life.
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.