Description
Electronic Arts is seeking an MLOps Developer to 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.
The successful candidate will report to the Head of Data & Infrastructure and work in close partnership with the Lead Infrastructure Engineer and Research Leads to translate requirements into durable operational processes and ensure the fleet operates effectively.
Responsibilities:
- Optimize how models train and serve
- Build the streaming data path from lake to GPU
- Make data formats a deliberate choice
- 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
- 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.
The salary ranges for this role are:
- British Columbia: $141,400 - $204,400 CAD
- California: $165,000 - $256,000 USD
Benefits include:
- Paid time off
- Sick time
- Paid company holidays
- Medical/dental/vision insurance
- Life insurance
- Disability insurance
- 401(k) or retirement plan
- Bonus and other incentive programs
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://jobs.ea.com/en_US/careers/JobDetail/MLOps-Developer/216108