Senior Machine Learning Engineer, Perception
Location: Palo Alto, California
Department: Software Engineering
About Wing:
Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us.
About the Role
Wing is looking for a Senior Machine Learning Engineer to join as a foundational member of our ML Perception team. You will be at the forefront of advancing our autonomous drone delivery system, leveraging deep learning to ensure our aircraft navigate the world with precision and safety. This role is hybrid based in Palo Alto, CA.
At Wing, you aren’t just building models in a vacuum; you have access to tens of thousands of hours of flight data from a diverse sensor suite. Your improvements will deploy directly to a large fleet of autonomous aircraft, impacting thousands of real-world customers daily. We value senior engineers who are intrinsically driven and have a knack for solving complex problems with stunningly simple, pragmatic solutions.
What You’ll Do:
- Design & Deploy: Research, build and deploy highly reliable ML models optimized for resource-constrained, real-time environments.
- Scale Research: Utilize Wing’s massive datasets to develop and refine complex models that push the boundaries of environmental understanding.
- Innovate: Apply state-of-the-art CV foundation models to solve real-world robotics challenges.
- Collaborate: Partner across hardware, software, and flight-testing teams to take features from concept to production-ready flight code.
- Mentor: Educate and drive ML/AI adoption at Wing.
What You’ll Need:
- 8+ years of experience in ML, deep learning, or computer vision, ideally within robotics or autonomous systems.
- MS or PhD in Computer Science, Robotics, Electrical Engineering, or equivalent industry experience leading production-grade ML systems.
- Proficiency in Python and/or C++.
- Hands-on experience with JAX, PyTorch, or TensorFlow.
- Deep understanding of Linear Algebra and modern CV architectures (CNNs, Transformers, etc.).
- Domain Expertise: Proven track record in one or more of the following:
- Multi-view Geometry & 3D Reconstruction.
- Monocular or Stereo Depth Estimation.
- Object detection, localization, Semantic Segmentation.
- Local and global image features
- The ability to drive complex features independently and a history of delivering simple, well-thought-out solutions to business-critical problems.
- Publications at top-tier Robotics/CV/ML conferences such as CVPR, ICCV, ECCV, ICML, ICRA, RSS, NeurIPS.
The US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process.
Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.
If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.
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