Machine Learning Infrastructure Engineer

Machine Learning Infrastructure EngineerEfference - Robust Robotic PerceptionLocation: San Francisco, CAEmployment Type: Full TimeLocation Type: On-siteDepartment: EngineeringWe are seeking an experienced Machine Learning Infrastructure Engineer focused on scaling cloud architectures and building the backend engines that power modern AI. This role blends data collection infrastructure, teleoperation routing, and model inference pipelines for next-generation robotic fleets. RequirementsExperience building backend infrastructure, data pipelines, or MLOps systems.System-level understanding of cloud architecture, networking, and large-scale data flow.Strong backend engineering skills (Python, Go, or similar).Familiarity with cloud providers (AWS, GCP) and container orchestration (Kubernetes).ResponsibilitiesSet up and scale the backend architecture for massive, multimodal data collection.Build the high-availability infrastructure required to route teleoperation video and control feeds.Create automated pipelines for model training, evaluation, and deployment back to the edge.Manage cloud storage and compute resources for large-scale computer vision datasets.Diagnose and resolve pipeline failures quickly to ensure continuous data flow.Nice to HaveExperience managing clusters of GPUs for deep learning workloads.Familiarity with synthetic data generation pipelines.Knowledge of modern edge-to-cloud synchronization techniques.