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Electronic Arts

Développeur.se - opérations liées à l’apprentissage automatique / MLOps Developer

Vancouver, BC, Canada

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Job details

Experience: 8+ years of engineering experience
Posting language: English
Posted: Nov 9, 2026

Original job description

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.

« Pour visualiser la description de poste en français, veuillez sélectionner le français dans le menu déroulant au haut de la page. »

At EA, we believe games are powerful because they bring together multiple ways people engage: play, watch, create, and connect. And increasingly, the biggest entertainment platforms aren't just places to consume content - they're places where communities build.

Creator-made content is already a proven part of EA's history - from community creation tools in Battlefield to The Gallery in The Sims 4. We believe new creative technologies and tools will expand how players engage with and contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is on enabling more players to participate in creative expression by making creation easier, safer, and more rewarding.

As an MLOps Engineer, you will work closely with researchers to optimize models, help shape the data they need for training, and instrument the system to measure and improve model performance. Working in close partnership with the Lead Infrastructure Engineer and Research Leads, you will translate requirements into durable operational processes and ensure the fleet operates effectively.

You will report to the Head of Data & Infrastructure.

Responsibilities:

You will optimize how our models train and serve.
You will build the streaming data path from lake to GPU.
You will make our data formats a deliberate choice.
You will instrument all of it including Per-job GPU utilization, queue depth and job success rate, cost per experiment, data-loader stall time, and serving latency percentiles.
You will land the training and experiment telemetry into one place researchers and planners trust.

Qualifications:

8+ years of engineering experience
4+ years building and operating ML systems in production
Expertise in Python
Comfort reading and modifying framework-level code - PyTorch, and an inference server such as vLLM, SGLang or TensorRT-LLM
Demonstrated model or inference optimization work
Hands-on experience with distributed data processing for ML (including Ray, Spark, or equivalent) and columnar and ML-native formats (such as Parquet, Arrow, Lance, or similar)
Practical observability skills including Prometheus, Grafana, or equivalent
Working knowledge of AWS compute and storage as they apply to ML workloads - EC2 GPU instances, S3 and its performance tiers, EKS
Experience with containerization and CI/CD for ML artifacts and a reproducibility instinct

This is a hybrid role, onsite three days a week, in Redwood City, Montreal, or Vancouver.

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) *$141,400 - $204,400 CAD

California (depending on location e.g. Los Angeles vs. San Francisco) *$165,000 - $256,000 USD

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

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

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.

General Information

Locations: Redwood City, California, United States of America

Location: Vancouver
State: British Columbia
Country: Canada

Location: Redwood City
State: California
Country: United States of America

Role ID

216108

Worker Type

Regular Employee

Studio/Department

Other

Work Model

Hybrid

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More about this job

Responsibilities

You will optimize machine learning model training and serving while building robust data pipelines from storage to GPU. Additionally, you will instrument system performance metrics and ensure reliable operational processes for research teams.

Requirements

Candidates must have at least 8 years of engineering experience with 4 years specifically in production ML systems. Proficiency in Python, distributed data processing, and cloud infrastructure like AWS is required.

Skills

Python
PyTorch
MLOps
Distributed data processing
Ray
Spark
Prometheus
Grafana
AWS
EKS
CI/CD
Containerization
Inference optimization
Data engineering
Model training
Observability

Benefits

Paid time off
Sick time
Paid company holidays
Paid parental leave
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Retirement plan
Mental well-being support
Complimentary games

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Machine Learning
Python
PyTorch
vLLM
SGLang
TensorRT-LLM
Ray
Spark
Parquet
Arrow
Lance
Prometheus
Grafana
AWS
EC2
S3
EKS
CI/CD
Containerization
Data Engineering
Inference Optimization
Observability
GPU Utilization
Telemetry
Distributed Systems
Infrastructure
Model Training
Data Pipelines
Software Engineering

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