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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Machine Learning Engineer, Simulation - **Company:** WINGS LLC - **Location:** Palo Alto, CA, United States - **Salary:** $274,000.0 - $292,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Machine Learning, System Testing, AI Infrastructure, Transfer Learning, Backend, Gaussian, Information Technology, Machine Learning Operations - **Published:** July 20, 2026 - **Apply:** https://www.dice.com/job-detail/ea10ee62-7b90-4157-aa34-d37040f4b5af ## About the Role * 12+ years of experience developing and designing machine learning applications, autonomous systems, or simulation platforms.B.S, M.S., or Ph.D. degree or equivalent practical experience in Computer Science, Machine Learning, Robotics, or a related field. * Demonstrated ability to lead technical ML projects of significant scope and complexity, driving initiatives from research to production-ready solutions. * Deep expertise in 3D World Modeling or 3D computer vision. * Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting). * In-depth knowledge of generative AI, predictive world models, autoregressive models, or self-supervised learning from multi-modal sensor streams. * Hands-on experience with sim-to-real transfer, domain adaptation, and world models. * Experience developing testing frameworks and evaluating ML models for edge cases and rare events in complex systems. 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. ## Description Wing is looking for a Staff Machine Learning Engineer, Simulationto join our Simulation team. This role is hybrid based in Palo Alto. 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. The simulation team's work spans vehicle physics and sensor modeling, large-scale simulation frameworks, test infrastructure for backend verification and integrated avionics and system testing. The Staff Machine Learning Engineer, Simulation is a foundational role for someone who thrives on both technical execution and strategic growth. You will be a key driver in integrating advanced ML techniques into Wing's simulation stack. You will define and execute the strategy for enhancing simulator realism, and develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms to model the real world. What You'll Do: * 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. * Champion sim-to-real efforts, using domain adaptation and transfer learning techniques to ensure our simulated models faithfully capture the behaviors of physical, on-vehicle systems. * Apply VLMs to enhance the understanding and controllability of our world simulation products. * Play a pivotal role in shaping the broader AI infrastructure across the organization, establishing best practices, optimizing workflow management for large-scale training, and championing foundational AI initiatives. ## Related Videos - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [How To Test A Ball of Mud](https://www.wearedevelopers.com/videos/173-how-to-test-a-ball-of-mud) - [WeAreDevelopers LIVE - Building The World’s Worst Image Editor™](https://www.wearedevelopers.com/videos/1836-wearedevelopers-live-building-the-world-s-worst-image-editor) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [How I Built QA from Scratch in a Scaling Startup - no fluff real life story](https://www.wearedevelopers.com/videos/2041-how-i-built-qa-from-scratch-in-a-scaling-startup-no-fluff-real-life-story) - [Confuse, Obfuscate, Disrupt: Using Adversarial Techniques for Better AI and True Anonymity](https://www.wearedevelopers.com/videos/1456-confuse-obfuscate-disrupt-using-adversarial-techniques-for-better-ai-and-true-anonymity) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Are Software Engineer Wages Being Pushed Down? 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