Applied Intuition
Senior Machine Learning Engineer - Generative Models
$185K–$260K
Sunnyvale · On-site · Senior · Full-time · Posted Oct 6, 2026
- Experience
- 5+ years developing and shipping ML or computer vision systems.
- Education
- Bachelor's degree in computer science, physics, robotics, or equivalent.
About the job
Develop generative models for Neural Simulation, creating realistic and controllable driving-scene data to help customers train and validate autonomous systems.
What you'll do
- Develop diffusion and video generation models and bring research into production.
- Scale model training and inference, and build evaluation metrics and validation workflows.
- Work with customers and cross-functional teams to deliver Neural Simulation product solutions.
What they ask for
- 5+ years developing and shipping ML or computer vision systems.
- Bachelor’s degree in computer science, physics, robotics, or equivalent.
- Hands-on experience with diffusion models and video generation; foundation in generative modeling and deep learning, including training and fine-tuning large models.
- Proficiency in Python and PyTorch; ability to turn research into production-quality software.
Nice to have
- Experience with 3D reconstruction, computer vision, or computer graphics.
- Experience in autonomous driving or robotics, multi-sensor data, 3D-aware generation, large-scale distributed training, C++/CUDA, or peer-reviewed research.
Pay
$185K – $260K (base salary; currency not stated)
Tools
Python, PyTorch, C++, CUDA, 3D Gaussian Splatting, NeRFs
AI focus
Develop diffusion and video generation models for controllable, temporally consistent driving-scene simulation; augment real-world logs, combine generative models with neural reconstruction, and scale training and inference.
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