Hybrid ML Engineer: Drone Perception & Autonomy

Socket.dev; Palo Alto (CA); Hybrid; USD 190,000 - 202,000; Full time

Job summary

Wing is seeking a Machine Learning Engineer to join the Perception team in Palo Alto, CA. The role focuses on advancing autonomous drone delivery by developing reliable ML models deployed to a large fleet, with access to extensive flight data and collaboration across hardware, software, and flight-testing teams.

The position requires 3+ years in ML/vision, a relevant MS degree, and proficiency in Python/C++ and ML frameworks (JAX/PyTorch/TensorFlow). On-site hybrid work in Palo Alto is offered.

Qualifications

• 3+ years of ML, deep learning, or computer vision experience.
• MS degree in Computer Science, Robotics, Aerospace, or Mechanical Engineering.
• Excellent software design and implementation skills.
• Proficiency in Python and/or C++.
• Hands-on with JAX, PyTorch, or TensorFlow for training/inference/validation pipelines.
• Familiarity with modern CV architectures (CNNs, Transformers).

Responsibilities

• Design & Deploy: Build and deploy highly reliable ML solutions both for the backend as well as optimized for resource-constrained, real-time environments.
• Monitor and Improve: Support and improve existing ML models and infrastructure, sharing in the team’s expertise.
• Collaborate: Partner across hardware, software, and flight-testing teams to take features from concept to production-ready flight code.

Skills

Python

C++

Machine Learning

Deep Learning

Computer Vision

Education

MS degree in Computer Science, Robotics, Aerospace or Mechanical Engineering

Tools

JAX

PyTorch

TensorFlow

Job description

Wing is seeking a Machine Learning Engineer to join the Perception team in Palo Alto, CA. The role focuses on advancing autonomous drone delivery by developing reliable ML models deployed to a large fleet, with access to extensive flight data and collaboration across hardware, software, and flight-testing teams.

The position requires 3+ years in ML/vision, a relevant MS degree, and proficiency in Python/C++ and ML frameworks (JAX/PyTorch/TensorFlow). On-site hybrid work in Palo Alto is offered.