> Markdown version of [/jobs/ext/4622292-senior-machine-learning-engineer-generative-models](https://www.wearedevelopers.com/jobs/ext/4622292-senior-machine-learning-engineer-generative-models). 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). --- # Senior Machine Learning Engineer - Generative Models - **Company:** Applied Intuition - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computer Vision, Machine Learning, Generative AI - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_91f3bbd1437d620aee85954a42fab4de ## About the Role * Strong ML experience in generative modeling, computer vision, or related areas * Ability to bring recent research into production systems * Experience with large-model training or inference workflows * Interest in autonomy simulation and evaluation for physical AI systems ## Description Applied Intuition is hiring a senior ML engineer for the generative-modeling side of its Neural Simulation product. The work focuses on diffusion and video generation models that turn real-world driving data into controllable, photorealistic simulation scenarios. The role sits at the research-to-product boundary: improving realism, temporal consistency, controllability, and evaluation workflows so autonomy teams can train and validate systems against harder simulated conditions. What you would work on * Develop diffusion and video-generation models for driving-scene simulation * Generate sensor data conditioned on scene layout, camera pose, actors, and trajectories * Augment real-world logs with new scenarios, actors, weather, and lighting conditions * Define metrics and benchmarks for realism, temporal consistency, controllability, and sim-to-real gap * Work with autonomy, infrastructure, research, and customer-facing teams to productionize new methods