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 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

• 5+ years of professional experience developing software for hardware products in a safety-critical field, e.g. aerospace, robotics, medical devices, autonomous vehicles
• Clear understanding of basic linear algebra, optimization, statistics, and algorithms
• Professional or industry experience working with Pytorch, Tensorflow or other modern deep learning frameworks
• Passion for ML, both large scale engineering and research challenges, especially in the space of autonomous driving and/or robotics
• Strong software engineering practices in Python within a production setting
• Generalist mindset, with the ability to work cross platform, from spooling up cloud compute services to optimizing for embedded systems
• A passion for building systems that ensure data security
• Experience building reproducible data and machine learning pipelines
• Experience deploying machine learning solutions on real robots is a big bonus
• 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