ML Infrastructure Engineer for Scalable Autonomous Systems

Zipline; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Zipline is shaping autonomous systems by building scalable data and ML infrastructure. You will own end-to-end data pipelines, datasets, and model deployment to accelerate learning and delivery in real-world robotics environments.

The role emphasizes reproducible ML workflows, production-grade Python, and collaboration across cloud and on‑prem systems to support mission-critical operations.

Qualifications

• Experience building reproducible data and ML pipelines.
• Knowledge of datasets, training, evaluation, optimization and modern DL workflows.
• 3+ years software engineering, including ML infrastructure or safety-critical environments.
• Strong Python production practices; design of APIs, services, and workflows.
• Experience with Kubernetes for production workloads.
• Cloud/on‑prem infrastructure experience (AWS preferred) and IaC tools.
• Proficiency with PyTorch or similar ML frameworks.
• Ownership, communication, and secure systems mindset.
• Willingness to work across cloud, data platforms, tooling, and robotics constraints.
• Experience monitoring data stats, performance, pipeline failures and signals.
• Experience with annotation systems or active-learning tools.
• Experience with large-scale training systems, feature stores, model registries, or experiment tracking.
• Experience deploying ML systems on real robots or autonomous hardware.

Responsibilities

• Build and operate software infrastructure enabling learning over large-scale data.
• Design scalable data and ML infra for autonomy teams including dataset handling and deployment.
• Own and improve data pipelines feeding the ML development loop.
• Identify bottlenecks in ML cycles, focusing on orchestration, performance, and reproducibility.

Skills

Python production

Kubernetes

AWS Cloud

ML Pipelines

Datasets

Model Deployment

Telemetry Monitoring

Security & Reliability

Data Platforms

Experiment Tracking

Tools

Terraform

CloudFormation

PyTorch

Git

APIs

Job description

Zipline is shaping autonomous systems by building scalable data and ML infrastructure. You will own end-to-end data pipelines, datasets, and model deployment to accelerate learning and delivery in real-world robotics environments.

The role emphasizes reproducible ML workflows, production-grade Python, and collaboration across cloud and on‑prem systems to support mission-critical operations.