MLOps Engineer for Production ML Systems (Hybrid)

Electronic Arts (EA); Vancouver; Hybrid; CAD 141,000 - 204,000; Full time

Benefits offered by this job

3 weeks vacation

Health coverage

Retirement plan

Bonus programs

Job summary

Electronic Arts is seeking an experienced MLOps Engineer to optimize model training and deployment, building robust streaming data paths and standardized data formats. You will instrument telemetry, monitor GPU utilization, and ensure reliable experimentation pipelines in collaboration with research leads and the Lead Infrastructure Engineer.

This is a hybrid role reporting to the Head of Data & Infrastructure.

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.

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.

Skills

Python

PyTorch

Distributed ML

Ray

Spark

Observability

AWS

CI/CD

Containerization

Tools

Parquet

Arrow

Lance

vLLM

TensorRT-LLM

Docker

Kubernetes

Prometheus

Grafana

Job description

Electronic Arts is seeking an experienced MLOps Engineer to optimize model training and deployment, building robust streaming data paths and standardized data formats. You will instrument telemetry, monitor GPU utilization, and ensure reliable experimentation pipelines in collaboration with research leads and the Lead Infrastructure Engineer.

This is a hybrid role reporting to the Head of Data & Infrastructure.