Hiring: Développeur.se - opérations liées à l’apprentissage automatique / MLOps Developer Company: Electronic Arts (EA) Location: Redwood City, CA Job Posted Time: 2026-09-16 13:54:11 Employment Type: Full-time / Hybrid Target Skills & Keywords : AI, AWS, AutoCAD, CAD, CI/CD, EC2, EKS, Grafana, LLM, MLOps, Parquet, Prometheus, PyTorch, Python, S3, Spark, TensorRT, vLLM About the job Experience: •8+ years of engineering experience •4+ years building and operating ML systems in production Required Skills: •Optimize how our models train and serve. •Build the streaming data path from lake to GPU. •Make our 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: •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. » •Report to the Head of Data & Infrastructure. •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 •Applied hands-on capability in 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 •Solid functional working knowledge of AWS compute and storage as they apply to ML workloads — EC2 GPU instances, S3 and its performance tiers, EKS Compensation: •$141,400 - $204,400 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!