Senior Machine Learning Engineer Generative Models
Job description
You will develop diffusion and video generation models for simulation. You will scale model training and inference, combine generative models with neural reconstruction, build evaluation workflows, implement customer solutions, and influence architecture.
Responsibilities
- Develop diffusion and video generation models
- Build controllable multi-camera driving-scene generation
- Augment real-world logs with simulated scenarios
- Combine generative models with neural reconstruction
- Scale generative-model training and inference
- Build evaluation metrics, benchmarks, and validation workflows
- Implement customer technical solutions
- Own critical technical components and influence architecture
Requirements
- 5+ years developing and shipping machine learning or computer vision systems
- Experience with diffusion models and video generation
- Knowledge of generative modeling, deep learning, training, and fine-tuning
- Python and PyTorch proficiency
- Ability to productionize research ideas
Benefits
- Occasional remote-work flexibility
Skills mentioned

Applied Intuition is a vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, the firm offers a comprehensive Vehicle OS, self-driving system, and toolchain that enable automakers, defense contractors, and heavy-industry players to design, test, and deploy autonomous vehicles more quickly. With a valuation of $15 billion after its Series F round, Applied Intuition’s solutions are trusted by 18 of the world’s 20 leading automakers and major defense programs. The company’s global footprint—headquartered in Mountain View with offices across the U.S., Europe, and Asia—supports its mission to deliver cutting-edge AI and engineering tools across automotive, defense, trucking, construction, mining, and agriculture sectors.
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