3 months ago
Palo Alto, CA, USAMid Level
H1B sponsor
Base Salary
$190k - $202k/yr
Responsibilities
- Build and deploy reliable machine-learning solutions for backend systems and resource-constrained real-time environments.
- Support and improve existing machine-learning models and infrastructure.
- Collaborate with hardware, software, and flight-testing teams to take features from concept through production-ready flight code.
- Develop perception capabilities for autonomous drones using flight data and diverse sensor inputs.
Requirements
- At least 3 years of experience in machine learning, deep learning, or computer vision, ideally in robotics or autonomous systems.
- MS degree in Computer Science, Robotics, Aerospace, or Mechanical Engineering, or two years of directly related experience working on the relevant skills.
- Excellent software design and implementation skills.
- Proficiency in Python and/or C++.
- Hands-on experience with JAX, PyTorch, or TensorFlow for training, inference, and validation pipelines.
- Familiarity with modern computer-vision architectures such as CNNs and Transformers.
- Expertise in one or more of multi-view geometry and 3D reconstruction, monocular or stereo depth estimation, object detection and localization, semantic segmentation, local and global image features, vision foundation models, VLMs, or VLAs.
- Ability to design and implement simple solutions to business-critical problems.
Benefits
- Hybrid role based in Palo Alto, California.
- Full-time position with bonus, equity, and benefits in addition to base salary.
Categories
ML EngineeringRobotics
About 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 software platform. Wing originated at X (Alphabet’s moonshot factory) and is a subsidiary of Alphabet, giving it access to substantial resources and large-scale partners.