7 hours ago
South San Francisco, CA, USAMid Level / Senior / Staff+
H1B sponsor
Base Salary
$160k - $250k/yr
Responsibilities
- Build and operate software infrastructure that enables learning algorithms to use Zipline’s large-scale fleet data.
- Design and maintain data and ML infrastructure for dataset creation, validation, training, evaluation, and deployment.
- Own and improve data pipelines supporting the ML development cycle.
- Identify and mitigate orchestration, performance, and reproducibility bottlenecks.
- Monitor data statistics, system performance metrics, pipeline failures, and model and evaluation signals.
Requirements
- 3+ years of professional software engineering experience, ideally involving ML infrastructure, data infrastructure, robotics, autonomy, aerospace, medical devices, or another safety-critical hardware or product environment.
- Strong production Python engineering skills, including designing APIs, services, schemas, jobs, and operational workflows.
- Experience building reproducible data and machine-learning pipelines.
- Working knowledge of datasets, training, evaluation, optimization, statistics, and modern deep learning workflows.
- Experience with PyTorch or similar ML frameworks.
- Experience with Kubernetes or another container orchestration system for production workloads.
- Experience with cloud and on-premise production infrastructure, preferably AWS, and infrastructure-as-code tools such as Terraform or CloudFormation.
- Experience deploying or evaluating ML systems on robots, autonomous vehicles, drones, or other hardware products is preferred.
- Experience with large-scale training systems, feature stores, data or versioned artifact stores, model registries, experiment tracking, annotation systems, dataset inspection tooling, or active-learning workflows is preferred.
Benefits
- Starting cash range is $160,000–$250,000 depending on level, experience, qualifications, skills, location, and projected impact.
- Total compensation may include equity compensation, discretionary annual or performance bonuses, sales incentives, medical, dental and vision insurance, and paid time off.
Tech Stack
Categories
Data EngineeringML Engineering
About Zipline
Zipline designs, builds, and operates autonomous drone delivery systems for healthcare, retail, and public-sector customers. The privately held company runs end-to-end logistics—aircraft, software, and fulfillment—to deliver blood, vaccines, medicines, and consumer goods. Founded in 2014 and headquartered in South San Francisco, Zipline operates across multiple continents; notable work includes Rwanda’s national blood deliveries and U.S. home delivery pilots with Walmart.