Senior ML Engineer: Generative Diffusion for Realistic Driving

Fdetimes; Sunnyvale (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Applied Intuition, Inc. in Silicon Valley seeks a senior machine learning engineer to advance diffusion and video generation for Neural Simulation.

You will turn cutting-edge research into production features, creating realistic, controllable sensor data and augmenting real-world logs with new scenarios for autonomous systems. You will work at the intersection of generative modeling, computer vision, and ML, bringing latest research into production and solving hardest simulation gaps in Physical

Qualifications

• 5+ years of experience developing and shipping ML or computer vision systems.
• 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.

Responsibilities

• Develop and advance diffusion and video generation models powering Neural Simulation in production environments.
• Push the limits of generative simulation for driving scenes with controllable generation conditioned on scene layout, camera pose, actors, and trajectories.
• Ensure temporally consistent, multi-camera video generation and augment real-world logs with new scenarios.
• Collaborate with multiple teams to deliver end-to-end solutions and improve fidelity of simulated scenes.
• Scale training and inference of large generative models for production workloads.
• Define and build evaluation metrics, benchmarks, and validation workflows for realism and sim-to-real gap.

Skills

ML & CV systems

Python

PyTorch

Production software

Problem solving

Ambiguity tolerance

Education

Bachelor's degree in CS/Physics/Robotics or equivalent

Tools

CUDA

Job description

Applied Intuition, Inc. in Silicon Valley seeks a senior machine learning engineer to advance diffusion and video generation for Neural Simulation.

You will turn cutting-edge research into production features, creating realistic, controllable sensor data and augmenting real-world logs with new scenarios for autonomous systems. You will work at the intersection of generative modeling, computer vision, and ML, bringing latest research into production and solving hardest simulation gaps in Physical