Wing
Staff Machine Learning Engineer, Simulation
Palo Alto, California · Staff+ · Full-time
Sponsorship not specified$274k-$292kDetected 4 days ago
AlgorithmsMachine LearningComputer VisionLLMsLogisticsAvionicsRoboticsResearch
About the role
- Wing is looking for a Staff Machine Learning Engineer, Simulation to join our Simulation team.
- Simulation is a core technology for Wing.
- We provide essential tools for R&D and are critical to ensuring the reliability of our fleet of autonomous aircraft.
Responsibilities
- Lead the design, development and deployment of world models and generative systems for realistic and controllable sensor generation for large-scale simulation at Wing's autonomous system.
- Develop generative pipelines to build high-fidelity synthetic datasets, leveraging SOTA multimodal models, diffusion techniques and world-models to simulate complex 4D environments.
- Partner with research teams across Alphabet to integrate advanced modeling techniques.
- Demonstrated ability to lead technical ML projects of significant scope and complexity, driving initiatives from research to production-ready solutions.
- Experience developing testing frameworks and evaluating ML models for edge cases and rare events in complex systems.
Requirements
- Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting).
- Hands-on experience with sim-to-real transfer, domain adaptation, and world models.
Nice to have
- 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.
- If you're ready to do the greatest work of your life, come join us.
Compensation
- $274,000 - $292,000 USD
Benefits
- Deep expertise in 3D World Modeling or 3D computer vision.
- The US base salary range for this full-time position is the salary range below + bonus + equity + benefits.
- In-depth knowledge of generative AI, predictive world models, autoregressive models, or self-supervised learning from multi-modal sensor streams.
Equal opportunity
- 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.
- 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.
This listing is sourced directly from Wing's careers page and normalized into a canonical job model.