Software Engineer, Zipline
Perception MLOps
$155-195k
More information about location
3-5 days a week in office (South San Francisco, CA)
Transforming the way goods move
Open for applications
Transforming the way goods move
1001+ employees
Open for applications
$155-195k
More information about location
3-5 days a week in office (South San Francisco, CA)
1001+ employees
Company mission
To open up access to emergency medical care to everyone in the world.
Role
Who you are
- Experience deploying and maintaining data pipelines for machine learning systems in production environments
- Strong familiarity with cloud infrastructure like AWS or GCP, and distributed systems for scaling data pipelines
- Proficiency in Python and experience with ML frameworks like Pytorch
- Experience with tools and frameworks for ML Ops, such as Prefect, Kubeflow, MLflow, or similar
- Solid understanding of software development principles and best practices in CI/CD for machine learning workflows
- A generalist mindset, excellent problem-solving skills and the ability to collaborate effectively with cross-functional teams
What the job involves
- We need to deliver to the incredibly diverse and challenging geometries of backyards and porches, while navigating a variety of objects we encounter
- From complex architectures to swaying trees, from tiny porches to a myriad of kid toys, our challenge is to build a robust autonomy system that puts the package down in a delightfully convenient and safe location every time
- To support this effort, we are seeking a skilled ML Ops Software Engineer who will be instrumental in developing, maintaining and optimizing the tools and technologies that ensure the machine learning models in our perception systems are reliably and continuously improving with data
- This role is crucial for maintaining the highest standards of performance and reliability in our autonomous systems, enabling them to adapt and thrive in diverse environments
- Your work will ensure that our algorithms perform at their best, leveraging advanced techniques to validate and refine them in real-world conditions
- Work closely with our machine learning and data platform engineers to streamline the entire machine learning pipeline
- Develop and maintain robust frameworks for data curation, data processing and annotation workflows
- Develop tools for monitoring, validation, and lifecycle management of ML datasets and annotations, and drive adoption of these tools across teams to empower them
- Establish and manage infrastructure for the continuous integration and continuous deployment (CI/CD) of ML models
Our take
Zipline is transforming the way goods move by creating the first logistics system that serves all humans equally via a drone delivery service. As the first emergency drone logistics operation, Zipline is fundamentally changing how we transport emergency medical supplies and has expanded into commercial deliveries. It's partnered with several major companies, including Walmart.
Zipline has an edge over potential future competitors as the company has thousands of hours and over 35 million miles of flight to prove the system is safe and effective. It’s also one of the first companies to receive a full commercial operating certificate, putting Zipline in a strong position to continuously branch out to other markets.
The unicorn company operates globally and has signed its first government contract with Rwanda to provide up to 2 million drone deliveries by 2029. It is also aiming to start commercial deliveries to individual households in the near future. With big companies such as Amazon and Walmart examining “instant” delivery options, Zipline has a proven track record and the equipment and logistics in place to provide such services. 2023 funding pushed Zipline's valuation to a staggering $4.2 billion, indicating a bright future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Apr 2023
$330m
SERIES F
Jul 2021
$250m
SERIES E
Total funding: $813.7m
Company benefits
- Generous parental leave
- Generous vacation policy
- Monthly wellness stipend
- Monthly team events
- Healthcare, vision, and dental
- Healthy, delicious meals and snacks
- Dog-friendly offices
Company values
- Customer obsession - The standard of care
- Ownership - Getting the job done
- Transparency - Breeds trust
- Continuous improvement - Tackling hard problems
- Serve Your Species - Empowering one another
Company HQ
South San Francisco, CA
Articles
Leadership
Having studied Economics and Biotechnology at Harvard, they worked for almost 11 months as a self-employed rock climber. They combined their academic and practical experience to co-found Zipline in July 2011.
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