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Senior Machine Learning Engineer - Generative Models

Applied Intuition· Dana for Physical AI
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SunnyvaleFull-timePosted 2w ago

About the role

Senior ML engineer focusing on generative modeling for Neural Simulation to convert real driving data into high-fidelity, photorealistic simulation environments using diffusion and video generation models.

Responsibilities

  • Develop and advance diffusion and video generation models that power our Neural Simulation product, bringing the latest research into production to improve realism, controllability, and scalability
  • Push the limits of generative simulation for driving scenes, including: controllable generation conditioned on scene layout, camera pose, actors, and trajectories; temporally consistent, multi-camera video generation; augmenting real-world logs with new scenarios, actors, and conditions such as weather and lighting
  • Combine generative models with our neural reconstruction pipeline to improve fidelity and coverage of simulated scenes
  • Scale training and inference of large generative models for production workloads
  • Define and build evaluation metrics, benchmarks, and validation workflows that measure realism, temporal consistency, controllability, and sim-to-real gap
  • Work closely with customers to understand their pain points and implement technical solutions in the Neural Simulation product
  • Collaborate closely with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions
  • Take ownership of critical technical components and influence architecture and product decisions

Qualifications

  • 5+ years of experience developing and shipping ML or computer vision systems
  • A minimum of a Bachelor's degree in computer science, physics, robotics, or equivalent
  • Strong hands-on experience with diffusion models and video generation (e.g., latent and video diffusion models, diffusion transformers)
  • A solid foundation in generative modeling and deep learning, including training and fine-tuning large models
  • Proficiency in Python and PyTorch
  • A proven ability to turn research ideas into robust, production-quality software
  • Strong problem-solving skills and comfort with ambiguity

Skills

Required:Diffusion models
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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