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About the Role

This internship offers hands-on experience at the intersection of robotics, embedded software, and systems engineering. You will test and integrate features affecting autonomous aircraft flight, route adaptation, and response to unexpected situations. This is a chance to learn how large, safety-critical autonomy systems are built and scaled, contributing to technology that directly impacts communities.

Responsibilities

Assist in analyzing datasets from engineering systems, vehicle sensors, and other sources to uncover patterns and support predictive modeling efforts.
Help design clear and visually appealing charts and dashboards using tools such as Matplotlib, Seaborn, Plotly, or Tableau to communicate findings.
Contribute to the creation and maintenance of real-time dashboards that track key metrics and system performance.
Support data cleaning, preprocessing, and organization tasks to make datasets ready for analysis.
Write simple SQL queries and learn how to work with databases.
Gain exposure to machine learning by assisting with model development and validation for autonomy applications.
Learn to apply scientific and engineering programming techniques to develop small data pipelines, automate processes, and run simulations.
Support software-related tasks such as building scripts or tools to improve workflows and automation.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, Robotics, Electrical Engineering, Computer Science, or a related technical field.
Familiarity with Python for scientific programming (libraries such as NumPy, Pandas, SciPy, Plotly, etc.).
Basic understanding of SQL for querying and working with data.
Exposure to software development practices (version control with Git, debugging, documentation) is a plus.
Coursework or experience with statistics, linear algebra, or numerical methods.
Interest in applying engineering and data analysis to solve real-world problems.
Curiosity and analytical thinking to approach technical challenges.
Ability to learn how to frame engineering problems as data science problems.
Willingness to communicate findings clearly with technical and non-technical teammates.
Strong written and verbal skills for documentation and presentations.
Familiarity with machine learning concepts or frameworks (e.g., Scikit-learn, TensorFlow, Keras).
Some experience from coursework, projects, or self-study in building or experimenting with models.
Prior exposure to robotics systems, automation, or sensor data (through coursework, projects, or clubs) is a plus.
Exposure to object-oriented programming (e.g., C++ or Java) is a bonus.
Familiarity with cloud services (AWS, GCP, Azure) or big data tools (Spark, Hadoop) is helpful but not required.

Skills

Python
SQL
Git
Matplotlib
Seaborn
Plotly
Tableau
Machine Learning
Data Analysis
Data Visualization
Dashboard Development
Data Engineering
Scientific Programming
Software Development
Object-Oriented Programming
Cloud Computing
Big Data Tools

Location

South San Francisco

Work Type

Full-time
In-person

Experience Level

Intern

Education Level

Bachelor's Degree
Master's Degree

Salary/Compensations

$54/ hour

Benefits

Housing stipend
Overtime pay
Relocation support
Paid sick time

About the Company

Zipline is the world’s largest and most experienced drone delivery service, aiming to serve all humans equally by ensuring access to food, medicine, and essential goods anytime, anywhere.
We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably.
Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries.
Our customers include prominent healthcare systems, governments, retailers, restaurants, and global businesses.
Our system strengthens supply chains, reduces congestion, and gives people time back.
With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.
We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth.
Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics.
We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

Equal Opportunity

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech.
Zipline is also committed to providing reasonable accommodations to individuals with disabilities.
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in Zipline ’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.