Fall 2026 Intern, Data Science
Overview
Posted
1 week, 5 days ago
Internship Type
Remote Status
Location
Mountain View, CA, USA
Education Level
Education Status
Not specified
Field of Study
All Majors
Categories
Not specified
Tags
Not specified
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an AI-powered technology stack purpose-built for commercial trucking and the public sector. Kodiak delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for a highly skilled Data Science Intern to join us and solve real-world robotics problems. In this role, you will: Design and execute data-driven analyses to identify and mitigate potential safety risks within perception systems, enabling the development of thorough safety case arguments. Facilitate development of our data platform and ensure cleanliness. Correlate performance of the Kodiak Driver on-road with simulation results. Work closely with the perception and system team and ensure the teams are supported with data necessary to make timely, informed decisions. Qualifications: BS, MS or PhD in Computer Science, Statistics, Operations Research or related quantitative technical fields. Strong understanding of data aggregation and interrogation statistics metrics implementation and underlying mathematical/statistical principles. Thinking with a safety mindset. Practical knowledge of common data analysis, inference, and statistical modeling tools using Python and SQL. Internship experience using machine learning or statistical analysis to build data-driven product solutions. Familiarity with version control systems like Git. Experience with modeling quantities of interest as random variables using distributions and uncertainty quantification. Start Date: Sept 2026. 12-16 weeks, end date is flexible. Location: Mountain View, CA. Competitive pay.