Perception CV/ML SWE Offboard Autonomy

Job description

About You and The Role

  Zipline is operating the world’s largest autonomous logistics network—delivering critical medical and commercial goods globally with high reliability, precision, and scale.

As we expand into increasingly complex, safety-critical environments, the systems behind our autonomy stack must be robust, adaptable, and deeply integrated—especially at the intersection of perception and deployment.

We're hiring a senior perception engineer to join our Droid team , the group responsible for the autonomy that powers Zipline’s backyard delivery experience.

This team owns the full stack of offboard and cloud-side perception systems that inform, validate, and augment our onboard autonomy.

From generating rich 3D and semantic priors from aerial survey data to learning customer preferences and terrain features at scale, your work will define how we prepare Zipline aircraft to perform mission-critical deliveries in complex, real-world environments.

This is not a research role—you’ll be expected to move fast, ship production-grade systems, and find clever ways to apply state-of-the-art techniques to tangible, high-impact problems.

What You’ll Do 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.

You’ll step in where our on-vehicle capabilities can’t solve the problems we need to solve in order to scale the product.

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.

What You'll Bring 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.

Why This Team?

You’ll own real-world autonomy problems that matter—delivering essential goods around the world, in thousands of diverse backyards and environments.

You’ll have autonomy and trust to define the roadmap and drive architectural decisions that shape Zipline’s global operations.

You’ll work on cutting-edge problems with people who care deeply about quality, systems thinking, and solving hard problems with elegance and clarity.

A Few More Things Zipline is an equal opportunity employer and encourages candidates from historically underrepresented backgrounds to apply—even if you're not sure you're a perfect fit.

If you care about shipping high-impact autonomy systems in production, we want to hear from you.

What Else You Need to Know The starting cash range for this role is $180,000 - $240,000.

Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role.

The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact.

The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

Required Skill Profession

Computer Occupations