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Machine Learning Engineering Intern

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Machine Learning Engineering Intern in USA new

  • Palo Alto, CA

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.

Salary: $128k - $135k/yr

Wing

Wing designs, builds, and operates autonomous delivery drones that move small packages from businesses to homes, integrating with retailers and logistics networks for last‑mile delivery. It offers drone delivery services in the U.S. and Australia and provides the aircraft, operations, and softwar...

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