Senior Machine Learning Engineer - Generative Models

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

• 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