Machine Learning Infrastructure Intern Summer 2024

Zipline

Oct 23, 2023

Applications are closed

Internship
Full-time
Summer Internship
Data
San Francisco

Requirements

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

Responsibilities

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

Zipline

Transforming the way goods move

Transportation

Industry

501-1000

Employees

2014

Founded Year

Mission & Purpose

Zipline was founded to create the first logistics system that serves all humans equally. Our aim is to solve the world’s most urgent and complex access challenges. Leveraging expertise in robotics and autonomy, Zipline designs, manufactures and operates the world’s largest automated delivery system. Zipline serves tens of millions of people around the world and is making good on the promise of building an equitable and more resilient global supply chain. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart and enabling leading healthcare providers to bring care into the home in the United States, Zipline is transforming the way goods move. By transitioning to clean, electric, instant logistics, we can decarbonize delivery, decrease road congestion, and reduce fossil fuel consumption and air pollution, while providing equitable access for billions of people. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Zipline is inspiring people, governments, and businesses to imagine what is possible when goods can move as seamlessly as information.