Jobs in Canada

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Added 2 days ago
L
Principal Software Engineer, Data and AI Platforms
lululemon
Vancouver, BC
- Full-time
You will establish the direction and system design for the enterprise data platform, set engineering standards and platform practices adopted across the domain, and serve as the definitive…
Added 5 days ago
KI
Senior Product Manager, AI Innovations Team, Operations Orchestration
Kinaxis Inc.
Canada
- Full-time
Bachelor's degree in Computer Science, Engineering, Data Science, Operations or a related field, or equivalent experience. An MBA or advanced degree is an asset.
Added 5 days ago
HG
Regional Director, Corporate Affairs
Hypertec Group
QC · St-Laurent, QC
- Full-time
We are seeking a Regional Director, Corporate Affairs – Canada to support the development and implementation of Hypertec's Corporate Affairs agenda.
Added 7 days ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical discipline, or equivalent practical experience.
Added 9 days ago
Azure Cloud Engineer - Senior Consultant
EY
Toronto, ON
To qualify for this role you must have: · Experience in Automation (must have) and Orchestration:
Added 12 days ago
VI
Chief Information Officer
Vector Institute
Toronto, ON
- Full-time
…in Toronto as Vector continues its work to further establish Canada as a centre of expertise for AI in the world. The Chief Information Officer is expected to oversee AI compute and…
Added 15 days ago
Senior Engineering Manager - Analytics Platform
Faire
Kitchener, ON · Toronto, ON
We’re hiring a Senior Engineering Manager to lead Faire’s Analytics Platform team. You will manage data warehousing, ETL pipelines, medallion data sets, BI tooling, and agentic analytics…
Added 18 days ago
PC
Cloud Architecture & Engineering, Director
Pwc Canada
Ottawa, ON · Toronto, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 19 days ago
TS
AVP, AI & Innovation
TD Securities
Toronto, ON
- Full-time
…business problems and works across business, quantitative, data, engineering, and control teams to deliver measurable…
Added 19 days ago
T
AVP, AI & Innovation
TD
Toronto, ON
- Full-time
…business problems and works across business, quantitative, data, engineering, and control teams to deliver measurable…
Added 20 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON · Cambridge, ON
…responsible for designing, developing and maintaining scalable data infrastructure on the Databricks lakehouse, the enterprise single source of truth. It plays a pivotal role in enabling…
Added 20 days ago
PC
Cloud Architecture & Engineering, Director
PwC Canada
Toronto, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 20 days ago
PC
Cloud Architecture & Engineering, Director
PwC Canada
Ottawa, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 21 days ago
T
Machine Learning Researcher
TekRek
Toronto, ON
- Full-time
The team combines researchers and engineers from established tech companies and research labs, and the company has the data, compute, and funding to train its own foundation models.
Added 21 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
You will work within a modern cloud data and AI ecosystem and collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI…
Added 21 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
You will work within a modern cloud data and AI ecosystem and collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI…
Added 22 days ago
A
Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 22 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 22 days ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
…Google Cloud and Gemini Enterprise expert, driving cloud and AI strategy and delivering scalable, secure, governed, and cost-effective solutions that accelerate business…
Added 22 days ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Zurich Canada is currently looking for a Data Engineer to build, operate, and support data pipelines and analytics-ready datasets that power reporting, advanced analytics, and AI-enabled…
Added 22 days ago
A
Engineering Manager, ML Infrastructure & Operations - Forma Generative AI
Autodesk
Toronto, ON
- Full-time
Define the architecture and optimization strategy for ML workloads as model size, data volume, compute requirements, and experiment velocity grow, with a focus on performance, utilization,…
Added 22 days ago
A
Engineering Manager, ML Infrastructure & Operations - Forma Generative AI
Autodesk
Toronto, ON
- Full-time
Define the architecture and optimization strategy for ML workloads as model size, data volume, compute requirements, and experiment velocity grow, with a focus on performance, utilization,…
Added 25 days ago
PC
Cloud Architecture & Engineering, Director
PwC Canada
Toronto, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 26 days ago
P
Cloud Architecture & Engineering, Director
PwC
Ottawa, ON · Toronto, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.
Added 26 days ago
PC
Cloud Architecture & Engineering, Director
PwC Canada
Ottawa, ON
- Full-time
Provide technical guidance on compute, storage, networking, security, identity, data services, and DevOps tooling.

Closed listing

EA SPORTS

Machine Learning Engineer - EA Sports FC

Vancouver, BC, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Sep 5, 2026
Experience: 2+ years of industry experience, including internships, within Machine Learning projects:
Posting language: English
Posted: Aug 6, 2026

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Added 1 day ago
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Added 1 day ago
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Search current openings

Original job description

Archived listing. The details below describe a past opening.

Description & Requirements

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.

EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.

As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.

With more opportunity than ever to design, innovate and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.

The FC Gameplay Advanced Team makes meaningful innovations in team strategy, AI, player animation, and player interactions that create exciting back of the box features for the EA Sports FC franchise. We work with creative designers, artists, and engineers to deliver big ideas that matter to the millions of players who enjoy the biggest sports video game in the world.

In this role you will join our multidisciplinary effort to deliver the best animation in the industry. You will be initially focusing on building a generative system to produce poses at runtime.

Your Responsibilities

Develop and maintain a complete animation data pipeline for ML training, from data source to deployment.
Build stress tests to validate model robustness and performance prior to release.
Gather and analyze live deployment data to identify issues and optimize model performance.
Gather, annotate, and synthesize training data using EA FC mocap, real-world volumetric data, and feedback from animation experts.
Share results through shipping features, presentations, papers, prototypes, and interactive demonstrations.
Stay current with latest ML and animation advancements, collaborating with production, design, and art teams to identify and drive impactful projects.
Apply machine learning techniques to develop high-quality human motion models that respond quickly to real-time controller input.

Your Qualifications

BS in Computer Science, Mathematics, or a related field, or equivalent professional experience.
Proficiency in Python.
2+ years of industry experience, including internships, within Machine Learning projects:
- Preparing large-scale datasets (TBs), with focus on compute and memory efficiency.
- Productizing ML solutions, either as standalone applications or production services.
- Working with cloud technologies such as Docker containers, Kubernetes, Azure, or Argo Workflows.
Experience with 3D animation, 3D transformations, linear algebra.
Familiarity with ML frameworks like PyTorch or TensorFlow.
Familiarity with C++.

Nice To Have

Experience optimizing ML models for real-time, memory- and compute-constrained environments.
Experience with ML Applications in the game/entertainment domain
Familiarity using 3D animation tools and/or game engines a bonus

Pay Transparency - North America

Compensation 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).

PAY RANGES

British Columbia (depending on location e.g. Vancouver vs. Victoria) *$122,300 - $170,700 CAD

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

For Canada, 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 other incentive programs.

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.

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.

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.

About employer

More about this job

Responsibilities

Develop and maintain animation data pipelines and generative systems to produce high-quality human motion poses at runtime. Collaborate with multidisciplinary teams to optimize ML models for real-time controller input and game performance.

Requirements

Requires a degree in Computer Science or Mathematics and 2+ years of industry experience in large-scale ML projects. Proficiency in Python and familiarity with ML frameworks, C++, and 3D animation transformations are essential.

Skills

Python
Machine Learning
PyTorch
TensorFlow
C++
Linear Algebra
3D Animation
Docker
Kubernetes
Azure
Argo Workflows
Data Pipeline Development
Model Optimization
3D Transformations

Benefits

Vacation
Sick time
Paid top-up to EI/QPIP benefits
Extended health coverage
Dental coverage
Vision coverage
Life insurance
Disability insurance
Retirement plan
Bonus and incentive programs
Mental well-being support
Complimentary games

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
C++
PyTorch
TensorFlow
Docker
Kubernetes
Azure
Argo Workflows
3D Animation
Linear Algebra
Mocap
Volumetric Data
Real-time Systems
Data Pipelines
Game Engines
Human Motion Models
EA Sports FC
Gaming Industry
Compute Efficiency
Memory Efficiency

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Jobs in Canada