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!

About you and the role

In service of our mission to operate at a 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 building data processing pipelines, ML pipelines, and monitoring who is passionate about developing scalable and maintainable infrastructure to enable critical systems deployment and monitoring.

What You'll Do

• Build software infrastructure to enable learning algorithms to leverage our large-scale fleet data
• Contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. distributed training, continuous model integration, data management, and evaluation of production systems).
• Address large scale challenges in the machine learning development cycle, especially around distributed training in the cloud and data engineering
• Identify and mitigate bottlenecks in our machine learning development processes
• Design scalable, maintainable deployment systems for our data and ML pipelines supporting Perception
• Design and integrate monitoring into everything you do so that Zipline’s Perception Team knows what is in our data as well as how our data and ML pipelines are performing

What You'll Bring

• Must have at least completed the second year of your undergraduate studies or equivalent. Masters and PhD students are also eligible
• Passion for ML, both large scale engineering and research challenges, especially in the space of autonomous driving and/or robotics
• Generalist mindset, with the ability to work cross platform, from spooling up cloud compute services to optimizing for embedded systems
• Clear understanding of basic linear algebra, optimization, statistics, and algorithms
• Strong software engineering practices in Python within a production setting
• A passion for building systems that ensure data security
• Interest in building reproducible data and machine learning pipelines
• Experience deploying machine learning solutions on real robots is a big bonus
• Some Production level experience in AWS, leveraging tools (e.g. Terraform, CloudFormation) to maintain infrastructure as code
• Experience with Kubernetes to support containerized applications in a production environment
• Experience monitoring data statistics, performance metrics, and error handling in a production environment

What Else You Need to Know