Senior Machine Learning Infrastructure Engineer
Confirmed live in the last 24 hours
Zipline

1,001-5,000 employees

Automated delivery system for equitable global logistics
Company Overview
Zipline stands out for its commitment to equitable logistics, utilizing advanced robotics and autonomy to operate the world's largest automated delivery system, serving millions globally. The company has demonstrated industry leadership through significant projects such as powering Rwanda's national blood delivery network, Ghana's COVID-19 vaccine distribution, and providing on-demand home delivery for Walmart. With a focus on clean, electric logistics, Zipline not only reduces environmental impact but also enhances accessibility, making it a compelling place to work for those passionate about technology and social impact.
Robotics & Automation
Aerospace

Company Stage

Series F

Total Funding

$833.1M

Founded

2014

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

15%

1 year growth

38%

2 year growth

97%
Locations
San Bruno, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Structures & Algorithms
Pytorch
Tensorflow
Terraform
Kubernetes
Python
CategoriesNew
AI & Machine Learning
DevOps & Infrastructure
Requirements
  • 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
  • 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
Desired Qualifications
  • Experience deploying machine learning solutions on real robots is a big