ML Infrastructure Engineer
Core
Building and scaling software infrastructure for data ingestion, processing pipelines, dataset management, distributed training, and model deployment to power Zipline's autonomous drone delivery fleet.
Role type
Senior ML Infrastructure Engineer (Data Platform)
Builds
Scalable data and ML infrastructure for autonomy teams, including dataset creation, validation, training, evaluation, and deployment pipelines.
Domain
Logistics + Autonomous Systems + Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Python, distributed training, data pipelines, Kubernetes, Terraform/CloudFormation, PyTorch, cloud infrastructure (AWS), system monitoring, API design
Preferred skills
Robotics/autonomy/hardware experience, feature stores, model registries, active learning workflows, experiment tracking
Technologies
Python, PyTorch, Kubernetes, AWS, Terraform, CloudFormation
Responsibilities
Design scalable data and ML infrastructure; own and improve data pipelines feeding the ML development loop; identify and mitigate bottlenecks in orchestration, performance, and reproducibility; build systems enabling learning algorithms to leverage large-scale fleet data.
Seniority
Senior, hands-on IC