Senior Staff Engineer, ML Ops (R4941)
ExpiredSan DiegoLast seen 1 month ago
Summary
Senior Staff Engineer responsible for designing and building an MLOps platform that supports distributed AI training, reinforcement learning, and foundation model development at scale. You will architect Kubernetes-native infrastructure for GPU workloads, design self-service AI development workflows, manage the data and model lifecycle, and lead platform distribution across cloud, on-premises, and air-gapped environments. The role requires deep expertise in modern AI frameworks (PyTorch, Hugging Face Transformers), distributed systems, GPU scheduling, and cloud-native infrastructure, with a focus on enabling researchers and engineers to move from experimentation to production rapidly.
Data ScienceDevOps / InfrastructureAIGoKubernetesMachine LearningPythonTerraformAir Gapped EnvironmentsCloud NativeDistributed TrainingEdge DeploymentGpu SchedulingGrafanaHelmHugging Face TransformersInfrastructure As CodeKaiLinuxMlopsNetworkingObservabilityOpentelemetryPrometheusPyTorchRayReinforcement LearningSecuritySlurmSovereign EnvironmentsStorage