Machine Learning Engineering Intern, Summer 2027

The role

You will join Wing's Perception team as a Machine Learning Engineering Intern. You will work on deep learning models that help Wing's drone delivery aircraft handle real-world edge cases, using flight data from a fleet of drones.

What you will do

• Help build unified and/or generalized Perception models for Wing aircraft systems
• Analyze real-world data and propose improvements to existing Perception pipelines using foundational and end-to-end geometric models
• Build ML models from large amounts of diverse data from a fleet of robots
• Make measurable impact on Wing's ability to scale operations
• Collaborate with a dynamic team

Required qualifications

• Currently pursuing a Master's or PhD in Aerospace Engineering, Mechanical Engineering, Computer Science, Computer Vision, Robotics, Electrical Engineering, or a related field
• Graduating between December 2027 and August 2028
• Intend to return to the program after the summer internship
• Strong examples of previous engineering experience from internships, academic, or extracurricular projects
• Strong grasp of basic physics and engineering fundamentals in computer vision
• Strong grasp of modern computer vision technologies such as self-supervised Vision Transformer foundation models and Vision Language Models, VLAs, with hands-on experience in at least one of those dom
• Experience with C++ and/or Python

Benefits

• Paid internship
• Benefits (details not listed in posting)

Before you apply

• Must be a current student enrolled in a degree program and intend to return after the internship
• Must be graduating between December 2027 and August 2028

About the company

Wing offers drone delivery for last mile logistics, designing, building, and operating its own aircraft on two continents. Wing is part of Alphabet.