Développeur.se en apprentissage automatique / Software Developer - (AI & ML) - Battlefield

Electronic Arts; Montreal (administrative region); On-site; CAD 80,000 - 100,000; Full time

Job summary

A renowned gaming company in Montreal is seeking a Data Scientist to drive data science and machine learning initiatives. You will research and implement innovative solutions to enhance gameplay, manage datasets for AI projects, and collaborate across teams to integrate AI effectively. With a degree in Data Science or related fields and at least three years of experience, you will lead the charge in using deep learning and AI technologies to shape the future of gaming. The role offers comprehensive benefits tailored to local needs.

Benefits

Healthcare coverage

Mental well-being support

Paid time off

Complimentary games

Qualifications

• 3+ years of experience as Data Scientist, Machine Learning Engineer, or equivalent.
• Hands-on experience in building deep learning solutions with popular ML frameworks.
• Experience with ML/AI development using cloud products.

Responsibilities

• Research, design and implement data science and machine learning solutions.
• Prepare and manage datasets needed for AI and ML R&D work.
• Document and present findings to technical and non-technical audiences.

Skills

Deep learning

Machine learning

Data science

AI solutions

Education

Bachelor or Master Degree in Data Science, Computer Science, Machine Learning, Engineering

Tools

Scikit-learn

Tensorflow

Pytorch

AWS

Azure

GCP

Docker

Kubernetes

Job description

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Responsibilities

• Research, design and implement data science and machine learning solutions to solve challenging problems from our game development lifecycle.
• Apply established data science and machine learning modeling techniques to Battlefield features and live services.
• Scope and adopt new and emerging techniques in deep learning and generative AI to improve existing tools and workflows, as well as player-facing features.
• Prepare and manage datasets needed for AI and Machine Learning R&D work.
• Work in partnership with other EA game teams, centralized research teams, and centralized platform teams to integrate AI solutions into Battlefield.
• Lead stakeholder engagement, manage communication, and facilitate cross-team collaboration.
• Document and present findings and solutions to non-technical audiences, and technical audiences that are not ML/AI experts.

Qualifications

• Bachelor or Master (Preferred) Degree in Data Science, Computer Science, Machine Learning, Engineering, or related field.
• Minimum 3+ years of experience as Data Scientist, Machine Learning Engineer, AI Engineer, Applied Scientist, or equivalent.
• Hands‑on expertise in building deep learning solutions with popular ML frameworks (Scikit‑learn, MLflow, Tensorflow, Pytorch, etc.).
• Hands‑on experience in building DS/ML/AI solutions for game features, such as matchmaking system, recommendation system, anti‑cheat, fraudulent detection, content moderation, auto‑balancing, game bots, etc.
• Experience with development around LLM‑based GenAI technologies.
• Experience with ML/AI development using AWS, Azure, or GCP products and services.
• Experience with handling docker containers, Kubernetes, etc.
• Experience with CI/CD pipelines.
• Experience or basic knowledge of API development for LLM solutions.
• Experience or basic knowledge of game engines and ML model deployment into game engines.

Benefits

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.

About Electronic Arts

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.

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.