About Zipline

Do you want to change the world? 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, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers.
 
The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.
 
Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.

About You and The Role  

In service of our mission to operate at global scale, we’re growing our perception capabilities, to expand quickly and safely into new products and locations, with the ultimate goal of delivering essential packages right to your doorstep. Our perception team is looking for a software engineer with an expertise in classical and modern computer vision, who is passionate about developing and shipping perception systems for the real world.

What You'll Do  

  • Investigate and develop computer vision algorithms and ML models for the perception system.
  • Design integrated computer vision solutions while running in real-time on constrained compute and are robust to varied weather and lighting conditions
  • Build machine learning models using deep learning for computer vision tasks such as semantic/panoptic segmentation, object detection, video understanding, etc.
  • Build software infrastructure to enable learning algorithms to leverage our large-scale fleet data
  • Understand the inner workings of neural networks to uncover edge cases and make safety determinations
  • Identify and mitigate bottlenecks in our machine learning development processes

What You'll Bring 

  • 5+ years of professional experience developing software for hardware products in a safety-critical field, e.g. aerospace, robotics, medical devices, autonomous vehicles
  • Solid foundation in computer vision; key areas of interest include: camera calibration; object detection, tracking and recognition; multiple view geometry, 3D computer vision and SfM/SLAM; visual odometry; activity recognition
  • Deep understanding of machine learning technology and experience with turning machine learning technologies into practical, state-of-the-art systems
  • Deep understanding of the theory and practice of modern machine learning techniques
  • Hands-on experience in computer vision and ML projects (2+ years).
  • Experience building reproducible data and machine learning pipelines
  • Experience working with production software. You are able to understand and contribute to high-quality software for a complex system.
  • Strong 3D geometry, linear algebra, statistics and probability skills.
  • Strong software engineering skills, with mastery of relevant languages like Python and C++
  • Generalist mindset, with the ability to work cross platform, from spooling up cloud compute services to optimizing for embedded systems
  • Experience deploying machine learning solutions on real robots

What Else You Need to Know

The starting cash range for this role is $180,000 - $225,000. 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.
 
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!

Apply for this Job

* Required
resume chosen  
Dropbox
(File types: pdf, doc, docx, txt, rtf)
Cancel
cover_letter chosen  
Dropbox
(File types: pdf, doc, docx, txt, rtf)
Cancel
Demographic questions for US based roles

We invite you to share your demographic data to support our diversity, equity, and inclusion efforts. Sharing this data is voluntary and will not impact your application to Zipline. There is a “decline to state” option should you elect not to disclose some or all data. We will use this data for demographic analytics purposes, consistent with our CCPA-compliant privacy policy. This data will be kept separately from your application and will not be accessed by recruiters or hiring managers. 

Gender (Select one)





Race














Educational attainment: What is the highest level of education you have completed so far? (Select one)









Are you a veteran? (Select one)



Are you a first generation college student? (Select one)




Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.