Winter 2027 Intern, Artificial Intelligence/Machine Learning

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 artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector.

The company 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.

of Defense.

We are looking for a highly skilled AI/ML Intern with a solid grasp of Computer Vision and Foundation Models, to tackle real-world challenges in robotics.

The perfect candidate for our team is someone who embodies a proactive, can-do mindset, tackling tasks with enthusiasm and persistence.

We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our fast-paced, innovative environment.

This role is ideal for individuals eager to demonstrate their expertise and eager to grow in a cutting-edge technological setting.

In this role, you will:

• Design and implement state-of-the-art machine learning algorithms using robust, efficient Python code, ensuring high-quality evaluations and reliability.
• Lead the development of innovative deep neural networks to address key robotics problems, such as end-to-end learning, 3d scene understanding, 3D object detection, 3D world reconstruction, and self-supervised learning.
• Work with various sensor technologies like cameras, lidars, and radars to create and refine machine learning datasets, enhancing performance with growing data.
• Develop and manage automated AI flywheel, ensuring seamless integration and efficiency in the machine learning process.
• Work within Kodiak's advanced software ecosystem, pushing the frontiers of existing autonomous systems through continuous innovation and development.