ML Engineer, Perception for Autonomous Drone Delivery

Wing; San Francisco (CA); Hybrid; USD 190,000 - 202,000; Full time

Job summary

Wing is seeking a Machine Learning Engineer to join the Perception team. This hybrid role is based in Palo Alto, CA, with access to tens of thousands of hours of flight data from a diverse sensor suite and a large fleet of autonomous aircraft.

You’ll focus on deep learning to improve navigation, safety, and real-world deployment. We value senior engineers who solve complex problems with pragmatic, simple solutions and who can collaborate across hardware, software, and flight-testing teams to

Qualifications

• 3+ years of ML/deep learning/vision experience in robotics or autonomous systems.
• MS degree in CS/Robotics/Aerospace or 2 years related experience.
• Strong software design and Python/C++ proficiency.
• Hands-on experience with modern CV architectures and DL frameworks.

Responsibilities

• Design and deploy ML solutions for backend and real-time environments.
• Monitor and improve existing ML models and infrastructure.
• Collaborate across hardware, software, and flight-testing teams to production-ready flight code.

Skills

3+ years ML experience

Excellent software design

Python and/or C++

Ability to design simple solutions

Education

MS in CS/Robotics/Aerospace or related

2 years related experience accepted

Tools

JAX

PyTorch

TensorFlow

CNNs & Transformers

Job description

Wing is seeking a Machine Learning Engineer to join the Perception team. This hybrid role is based in Palo Alto, CA, with access to tens of thousands of hours of flight data from a diverse sensor suite and a large fleet of autonomous aircraft.

You’ll focus on deep learning to improve navigation, safety, and real-world deployment. We value senior engineers who solve complex problems with pragmatic, simple solutions and who can collaborate across hardware, software, and flight-testing teams to