Développeur Principal en Apprentissage Automatique - Technologie et Transformation IA (CDP)/ Pr[...]

Electronic Arts; Vancouver; Hybrid; CAD 30,000 - 60,000; Full time

Job summary

A prominent gaming company is seeking a Machine Learning Engineer to design, train, and deploy large-scale AI models for enhancing character and motion technologies. The role involves leading deep learning projects, collaborating with cross-functional teams, and integrating advanced AI into game development. Candidates should possess a strong background in machine learning, deep learning, and relevant programming skills. This position offers a hybrid work model and a comprehensive benefits package in British Columbia.

Benefits

3 weeks of vacation per year

Comprehensive health/dental/vision coverage

Paid top-up to parental leave benefits

Qualifications

• 5+ years of professional experience developing and deploying machine learning systems in production.
• Demonstrated ability to lead R&D initiatives and mentor technical staff.
• Excellent problem-solving, communication, and documentation skills.

Responsibilities

• Lead the design and implementation of deep learning models for motion capture.
• Develop and optimize transformer-based architectures and multimodal AI systems.
• Collaborate with research, animation, and engineering teams.

Skills

Deep learning for human motion capture

Pose estimation

Proficiency in Python

Working with PyTorch

Strong understanding of transformer architectures

Education

PhD or Master’s degree in Computer Science, Engineering, or a related field

Tools

TensorRT

TensorFlow

Job description

• Location: Orlando
• Country: United States of America
• Location: Montreal
• Country: Canada

Work Model: Hybrid

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.

About the Role

We’re EA, one of the world’s largest video game publishers. Our central development teams power every EA game you know and love. From localization and culturalization to testing, art, rigging, animation, capture, and cinematics we are the backbone that helps our studios bring immersive worlds to life.

As part of EA’s AI Transformation, we’re reimagining how games are created, tested, and localized by deeply integrating generative AI and agentic systems into every part of our central development pipeline.

We are seeking a Machine Learning Engineer on the team, to design, train, and deploy large‑scale AI models that drive innovation in human motion generation, real‑time performance capture, and multimodal understanding. You will work at the intersection of research and production—building intelligent systems that enable more natural, dynamic, and scalable character and motion technologies across EA titles.

Key Responsibilities

• Lead the design and implementation of deep learning models for motion capture, pose estimation, and generative motion synthesis.
• Develop and optimize transformer‑based architectures and multimodal AI systems for real‑time inference and large‑scale data processing.
• Collaborate with research, animation, and engineering teams to translate experimental models into production‑ready pipelines.
• Develop scalable training and deployment systems using frameworks such as PyTorch, TensorRT, and gRPC.
• Work with cross‑functional partners to prototype, benchmark, and validate new models and algorithms for animation, capture, and simulation.
• Implement best practices for data curation, synthetic dataset generation, and model evaluation.
• Drive experimentation and innovation through close collaboration with academic institutions and industry partners.

Qualifications

• PhD or Master’s degree in Computer Science, Engineering, or a related field, with focus on Machine Learning, Computer Vision, or Applied AI.
• 5+ years of professional experience developing and deploying machine learning systems in production.
• Proven expertise in deep learning for human motion capture, pose estimation, or 3D vision.
• Proficiency in Python, PyTorch, TensorFlow, and deep learning optimization toolkits (e.g., TensorRT).
• Strong understanding of transformer architectures, LLMs, and generative adversarial networks (GANs).
• Demonstrated ability to lead R&D initiatives, mentor technical staff, and deliver results across multidisciplinary teams.
• Excellent problem‑solving, communication, and documentation skills.

Pay and Benefits

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

In British Columbia, we offer a package of benefits including 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, life insurance, disability insurance, retirement plan to regular full‑time employees. Certain roles may also be eligible for bonus and equity.

Pay is just one part of the overall compensation at EA.

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.