> Markdown version of [/jobs/ext/1349716-staff-machine-learning-engineer-simulation](https://www.wearedevelopers.com/jobs/ext/1349716-staff-machine-learning-engineer-simulation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Machine Learning Engineer, Simulation

- **Company:** WINGS LLC
- **Location:** San Francisco, 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 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=364217923d84cf92

## 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.

## Description

Wing is looking for a Staff Machine Learning Engineer, Simulation to 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)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)