Zipline · 5 months ago
Perception CV/ML SWE - Offboard Autonomy
South San Francisco, CA, US
Full-time
Onsite
Senior Level
$180K/yr - $265K/yr
5+ years expZipline is on a mission to transform the way goods move, aiming to solve urgent access challenges with their innovative logistics system. They are seeking a Senior Perception Engineer to design and implement cloud-side autonomy pipelines that support onboard perception stacks, utilizing satellite imagery and structured data to enhance delivery operations.
Computer Software
Responsibilities
Own the design and implementation of cloud-side autonomy pipelines that directly support and scale our onboard perception stack
Leverage satellite imagery, aerial surveys, and structured data to build semantic and geometric world models of customer delivery zones
Design and ship tools that predict deliverability, generate high-fidelity priors, and reduce the operational friction of onboarding new customers in new environments
Train and deploy mid- to large-scale models for semantic segmentation, 3D geometry, and learned preference modeling
Design evaluation and validation infrastructure to ensure models behave reliably in the field
Work across engineering to integrate your work into fleet-facing autonomy systems
Lead architectural decisions, drive experimentation, and help the team push the limits of what's possible with production-grade perception at scale
Qualification
Required
At least 5+ years of experience building and deploying deep learning-based perception systems, particularly in 3D geometry, semantic understanding, or mapping from remote sensing data
Strong understanding of classical computer vision (e.g. camera calibration, epipolar geometry, structure-from-motion) and the ability to blend it with modern ML approaches
Hands-on experience training, iterating on, and optimizing CNN and transformer architectures in production environments
An engineering mindset focused on outcomes over experimentation —you know how to prioritize what's good enough to ship now and what needs to be architected for scale later
Familiarity with building training, data annotation, and evaluation pipelines—not just models
Comfort working across systems: jumping into data pipelines, training infrastructure, or debugging distributed training issues as needed
Experience deploying models in real-world, high-stakes robotics or autonomy applications is a strong plus
Benefits
Equity compensation
Overtime pay
Discretionary annual or performance bonuses
Sales incentives
Benefits such as medical, dental and vision insurance
Paid time off
And more
Company
Zipline
For far too long, retail brands have struggled with disconnects between headquarters and frontline teams.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Melissa Wong
CEO & Co-Founder
Deri McCrea
Chief Customer Officer
Company data provided by crunchbase