Zipline is looking 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, through the development of autonomous drone delivery networks.
Requirements
- Experience maintaining data pipelines for machine learning systems in production environments
- Familiarity with cloud infrastructure like AWS or GCP, and distributed systems for scaling data pipelines
- Proficiency in C++/Rust/Python
- Background in computer vision, autonomous systems or robotics preferred
Responsibilities
- Build scalable software and data pipelines that accelerate ML model deployment across cities.
- Design frameworks for data curation and annotation to deliver high-quality datasets at scale.
- Partner with perception and data platform engineers to build the data flywheel linking system performance to data distribution.
- Maintain and advance computer vision algorithms to process incoming data and boost perception performance.
- Develop tools for data mining, leveraging techniques like embeddings and active learning.
Other
- Must be eligible to work in the US
- Minimum of 4 days/week in South San Francisco
- A generalist mindset, excellent problem-solving skills and the ability to collaborate effectively with cross-functional teams
- Degree requirements not specified, but experience and skills are emphasized
- Zipline is an equal opportunity employer and encourages candidates from historically underrepresented backgrounds to apply
