Machine Learning Engineering Intern

Responsibilities

* Develop unified and generalized perception models for autonomous delivery aircraft. * Analyze real-world flight data and propose improvements to existing perception pipelines. * Work with large, diverse datasets from thousands of robots to build machine learning models. * Explore state-of-the-art foundational and end-to-end geometric models for computer vision. * Collaborate with the Perception team to improve the scalability and safety of drone delivery operations.

Requirements

* Currently pursuing a master's or PhD degree in aerospace engineering, mechanical engineering, computer science, computer vision, robotics, electrical engineering, or a related field. * Expected graduation between December 2027 and August 2028. * Strong examples of engineering experience from internships, academic projects, or extracurricular projects. * Strong grasp of basic physics and engineering fundamentals in computer vision. * Hands-on experience with at least one modern computer vision area, such as self-supervised Vision Transformer foundation models, Vision Language Models, or VLAs. * Experience with C++ and/or Python.

Benefits

* Paid 12-week summer internship. * Hybrid, in-person program based in Palo Alto, California. * Start dates available in May or June. * Benefits are included with the stated internship compensation. * Applicants must be current students who intend to return to their degree program after the internship.