Perception Intern (Summer 2026)

Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world.

Joining Zipline’s Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline’s mission forward, while learning real-world skills that will serve them in their careers for the long term. 

Join us, and build the future of logistics with the best humans around!

This team owns both onboard and offboard (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 help define how we prepare Zipline aircraft to perform mission-critical deliveries in complex, real-world environments.

You'll dive into ML model experimentation, eval and integration -  pushing the boundaries of our current perception system. Our distinctive challenges require groundbreaking approaches, and you'll have the chance to see your ideas transition from concept to real-world application. In a fast-paced and collaborative environment, you'll look at current research in the field, and use that to propose novel solutions to our pressing perception challenges. Join us, and be at the frontier of shaping the future of autonomous deliveries.

• Experiment and ideate on learning-based solutions for unique perception challenges.
• Transition experimental solutions to scalable, real-world applications.
• Collaborate closely with team members, brainstorming and deriving creative solutions from first principles.
• Leverage heterogeneous sources of data to train machine learning models
• Train models on heterogeneous data sources
• Build tools to streamline processes and encourage engineering excellence.
• Share findings and insights, fostering knowledge exchange across teams.
• Drive the transition of experimental models into practical, operational systems.

• A proven history of quality ML research, reflected by publications in conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, CoRL, RSS, etc.
• Specific expertise in areas such as depth estimation, semantic segmentation, 3D perception, etc.
• Proficiency with deep learning frameworks like PyTorch, JAX, or TensorFlow.
• Experience writing code in a production environment, e.g. at a previous internship.
• Ability to rapidly experiment, iterate, and adapt to new findings in a dynamic environment.

Zipline is unable to sponsor work visas for applicants to this position.

The starting cash range for this internship is $44 - $49 / hour. 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, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. 

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.